Home
Videos uploaded by user “Google Cloud Platform”
What is Machine Learning?
 
05:23
Got lots of data? Machine learning can help! In this episode of Cloud AI Adventures, Yufeng Guo explains machine learning from the ground up, using concrete examples. Associated article "What is Machine Learning?" → https://goo.gl/Dbxo6M Watch more episodes of AI Adventures here → https://goo.gl/UC5usG TensorFlow → http://tensorflow.org Cloud ML Engine → http://cloud.google.com/ml-engine/ Hands-on intro level lab Baseline: Data, ML, AI → http://bit.ly/2KoBF6Y Don't forget to subscribe to the channel! → https://goo.gl/S0AS51
Views: 196468 Google Cloud Platform
What is Cloud Vision API?
 
02:09
Cloud Vision API provides powerful Image Analytics capabilities as easy to use APIs. It enables application developers to build the next generation of applications that can see and understand the content within the images. The service enables customers to detect a broad set of entities within an image from everyday objects to faces and product logos. In this video, we show a Raspberry Pi robot that uses the API to demonstrate the API features. To learn more visit https://cloud.google.com/vision/
Views: 217590 Google Cloud Platform
The 7 Steps of Machine Learning
 
10:36
How can we tell if a drink is beer or wine? Machine learning, of course! In this episode of Cloud AI Adventures, Yufeng walks through the 7 steps involved in applied machine learning. The 7 Steps of Machine Learning article: https://goo.gl/XEo6i2 Watch more episodes of AI Adventures here: https://goo.gl/UC5usG TensorFlow Playground: http://playground.tensorflow.org Machine Learning Workflow: https://goo.gl/SwLnSz Hands-on intro level lab Baseline: Data, ML, AI → http://bit.ly/2KoBF6Y Want more machine learning? Subscribe to the channel: https://goo.gl/S0AS51
Views: 1001747 Google Cloud Platform
Introducing Google Actual Cloud Platform
 
02:08
Literally a cloud. Introducing Google Actual Cloud Platform, the world’s first public cloud running on servers in the troposphere. Available April 1. Watch the video to learn more. https://cloud.google.com/actual-cloud/
Views: 251947 Google Cloud Platform
Introducing Cloud AutoML
 
01:42
Cloud AutoML is a suite of Machine Learning products that enables developers with limited machine learning expertise to train high quality models by leveraging Google’s state of the art transfer learning, and Neural Architecture Search technology. AutoML Vision is the first product to be released. It is a simple, secure and flexible ML service that lets you train custom vision models for your own use cases. Soon, Cloud AutoML will release other services for all other major fields of AI. Product page: https://cloud.google.com/automl/ Blog post: https://www.blog.google/topics/google-cloud/cloud-automl-making-ai-accessible-every-business/ Podcast: https://www.gcppodcast.com/post/episode-109-cloud-automl-vision-with-amy-unruh-and-sara-robinson/ Using Distributed TensorFlow with Cloud ML Engine and Cloud Datalab → http://bit.ly/2ILCe5b
Views: 74294 Google Cloud Platform
Introduction to Kaggle Kernels
 
04:22
In this episode of AI Adventures, Yufeng explains how to use Kaggle Kernels to do data science in your browser without any downloads! Associated Medium post "Introduction to Kaggle Kernels": https://goo.gl/yRF6H8 Fashion MNIST Kernel: https://goo.gl/GtM6ov Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 33896 Google Cloud Platform
Cloud Spanner
 
01:45
Cloud Spanner is a fully managed, mission-critical relational database service built from the ground up and battle tested for transactional consistency, high availability, and global scale. https://cloud.google.com/spanner
Views: 59089 Google Cloud Platform
Plain and Simple Estimators
 
05:47
In this episode of AI Adventures, it's time to write some TensorFlow code! We'll build a linear model to recognize different kinds of flowers using a canned estimator. Associated Medium post - Plain and Simple Estimators: https://goo.gl/L2YUbk Jupyter notebook: http://jupyter.org/ Code from this episode: https://goo.gl/ChcaM9 TensorFlow Estimators: https://goo.gl/r1tZUW Dataset: https://goo.gl/UtccyH Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 74622 Google Cloud Platform
Get to know Google App Engine
 
02:19
Google App Engine makes it easy to focus on your code, while letting us manage your infrastructure.
Views: 22524 Google Cloud Platform
Wrangling Data with Pandas
 
05:37
In this episode of AI Adventures, Yufeng explores the fascinating world of pandas, an open-source python library that provides easy to use, high-performance data structures and data analysis tools. Associated Medium post "Wrangling data with Pandas": https://goo.gl/txENbw Pandas: http://pandas.pydata.org/ Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 24256 Google Cloud Platform
Jupyter Tips and Tricks
 
06:10
In this episode of AI Adventures, Yufeng journeys to Jupyter to bring back some tips and tricks for your data science workflow! Associated Medium post "Jupyter tips and tricks": https://goo.gl/Xi3ffq http://jupyter.org/ Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 31036 Google Cloud Platform
What is Cloud Speech API?
 
02:49
Google Cloud Speech API enables developers to convert audio to text by applying powerful neural network models in an easy to use API. The API recognizes over 80 languages and variants, to support your global user base. You can transcribe the text of users dictating to an application’s microphone, enable command-and-control through voice, or transcribe audio files, among many other use cases. Recognize audio uploaded in the request, and in upcoming releases, integrate with your audio storage on Google Cloud Storage. To learn more visit https://cloud.google.com/speech/ Cloud Speech API Qwiklabs → http://bit.ly/2lNKSXS Speech to Text Transcription with the Cloud Speech API → http://bit.ly/2z0w7KU
Views: 71759 Google Cloud Platform
Which Python Package Manager Should You Use?
 
05:06
In this episode of AI Adventures, Yufeng discusses some of the options available when it comes to managing your Python environment for machine learning and data science, and helps you make an informed decision based on your needs. Associated Medium post "Which Python package manager should you use?": https://goo.gl/uGwXiA Resources: Pip: https://goo.gl/YwDW8 Virtualenv: https://goo.gl/5ix9f Anaconda: https://goo.gl/thHWnF Pyenv: https://goo.gl/RU0Swa Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to be notified of new episodes: https://goo.gl/S0AS51
Views: 15038 Google Cloud Platform
How Computer Vision Works
 
07:08
The Google Cloud Vision and Video Intelligence APIs give you access to a pre-trained machine learning model with a single REST API request. But what do those pre-trained models look like behind the scenes? In this video we'll uncover the magic of computer vision models by breaking down how Convolutional Neural Nets work under the hood, and we'll end with a live demo of the Vision API. Learn more here! How CNNs work → https://goo.gl/W51CGk How RNNs work → https://goo.gl/I7RChj Cloud Vision API → https://goo.gl/1OGqoC Cloud Video Intelligence API → https://goo.gl/p2X9xn Subscribe to the Google Cloud Platform channel → https://goo.gl/S0AS51
Views: 14818 Google Cloud Platform
Google Cloud IoT Solutions
 
01:17
Events of interest fire off continuously in the physical world, and data that is material to decision making can’t always wait for offline analysis. Internet-equipped sensors on any physical item imaginable make it possible to ingest data continuously into the cloud, directly from the source at massive scale. Learn why Cloud Platform is the best place to build IoT initiatives, taking advantage of Google’s heritage of web-scale processing, analytics, and machine intelligence. https://cloud.google.com/solutions/iot/
Views: 32946 Google Cloud Platform
Building Small Containers (Kubernetes Best Practices)
 
08:45
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how you can build small containers to make your Kubernetes deployments faster and more secure. See the associated article here → https://goo.gl/zjejFj Google Container Registry → https://goo.gl/ilwubv Google Container Builder → https://goo.gl/l1Obc1 Container Registry Vulnerability Scanning → https://goo.gl/5EiyLe Google Kubernetes Engine → https://goo.gl/2V8yah Docker Multistage Builds → https://goo.gl/nQmwW4 Subscribe to the Cloud channel → https://goo.gl/S0AS51
Views: 55943 Google Cloud Platform
Organizing Kubernetes with Namespaces (Kubernetes Best Practices)
 
08:52
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how to work with Namespaces and how they can help you manage your Kubernetes resources. See the associated article here → https://goo.gl/63hC8h Google Kubernetes Engine → https://goo.gl/2V8yah kubens tool → https://goo.gl/1xjeo1 Network Policy → https://goo.gl/okBTmh Minikube → https://goo.gl/a11kLJ Istio → Istio.io Spinnaker → Spinnaker.io Check out more Kubernetes Best Practices videos here → https://goo.gl/xTzAGd Subscribe to the Cloud channel → https://goo.gl/S0AS51
Views: 9584 Google Cloud Platform
Introducing Style Detection for Cloud Vision API
 
02:32
Google Cloud Vision API is a tool that enables developers to understand the contents of an image. Today, we’ve added a brand-new feature to the Vision API—Style Detection. Now, Vision can now not just identify clothing, but evaluate the nuances of style to a relative degree of uncertainty. This is an April Fools' Day joke.
Views: 57686 Google Cloud Platform
Building for the Big Screen with Atomic Fiction and Google Cloud Platform
 
01:51
Atomic Fiction creates visual effects for some of the biggest movies and shows out there (ahem! Game of Thrones). But rendering these effects can take a monumental amount of compute power. That’s where Google Cloud Platform comes in. With Compute Engine, Atomic Fiction can tap into massive infrastructure when they need it, and scale back to nothing when they don’t. Learn more about Atomic Fiction’s story from co-founder Kevin Baillie on the blog: http://goo.gl/FsyK1O While you’re at it, check out our Media Solutions lineup: https://cloud.google.com/solutions/media/
Views: 9816 Google Cloud Platform
Estimators Revisited: Deep Neural Networks
 
03:58
In this episode of AI Adventures, Yufeng explains how to build models for more complex datasets, using TensorFlow to build deep neural networks! Associated Medium post "Estimators revisited: Deep Neural Networks": https://goo.gl/eQxgAa DNNClassifier: https://goo.gl/2aee5a Code from this episode: https://goo.gl/fJwzWY Iris Dataset: https://goo.gl/UtccyH Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 12598 Google Cloud Platform
Cloud Spanner Live Demo
 
05:18
Google Cloud Spanner is the first and only relational database service that is both strongly consistent and horizontally scalable. Here we're looking at a real-world scale example, demonstrated by Greg DeMichillie and Robert Kubis.
Views: 11115 Google Cloud Platform
What's the Difference Between DevOps and SRE?
 
05:11
Seth Vargo and Liz Fong-Jones go head-to-head to determine which is better: DevOps or Site Reliability Engineering (SRE). In this video, Liz and Seth discuss the differences and similarities between DevOps and SRE, ultimately realizing that DevOps and SRE aren't two competing methods, but rather close friends designed help break down organizational barriers to deliver better software faster. DevOps is like an abstract class in programming, and SRE is one possible implementation of that class. Site Reliability Engineering: https://goo.gl/aCiiPV How SRE relates to DevOps: https://goo.gl/NWKuj9 Managing Deployments with Kubernetes Engine Qwiklab: http://bit.ly/2zdFQh5 Reach out to Liz and Seth: https://twitter.com/sethvargo https://twitter.com/lizthegrey Watch more episodes from the playlist here: https://goo.gl/CKv3tV Subscribe to the Google Cloud Platform channel for more Cloud content: https://goo.gl/S0AS51
Views: 114795 Google Cloud Platform
Google BigQuery - Analytics Data Warehouse | Google Cloud Platform
 
01:59
BigQuery is Google's fully managed, petabyte scale, low cost analytics data warehouse. BigQuery is serverless, there is no infrastructure to manage and you don't need a database administrator, so you can focus on analyzing data to find meaningful insights, use familiar SQL, and take advantage of our pay-as-you-go model. BigQuery is a powerful Big Data analytics platform used by all types of organizations, from startups to Fortune 500 companies.
Views: 27970 Google Cloud Platform
Google Cloud Functions: introduction to event-driven serverless compute on GCP
 
03:06
Google Cloud Functions is GCP’s event-driven serverless compute platform. Cloud Functions makes it easy to run and scale your code in the cloud in response to events originating from GCP, Firebase, Google Assistant, and 3rd-party services. Learn more at https://cloud.google.com/functions
Views: 4268 Google Cloud Platform
Distributed Training in the Cloud
 
04:45
Training machine learning models at scale has never been simpler. By leveraging in the cloud machine learning engine, we can quickly and easily train TensorFlow models without worrying about configuring servers installing drivers and libraries. Associated Medium post: https://goo.gl/nA5sbw Resource Links: Distributed TensorFlow: https://goo.gl/Ph6Whh Scale Tier: https://goo.gl/N4bA6P How to run TensorFlow on Hadoop: https://goo.gl/QZWKUS Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 9616 Google Cloud Platform
Deploying Node.js on App Engine standard environment
 
01:58
In this video you will learn how you can quickly and easily deploy a node.js application on App Engine standard environment. You will also learn about App Engine's fully managed platform that allows developers to deploy highly scalable applications without worrying about managing the underlying infrastructure.
Views: 7852 Google Cloud Platform
Risk and Error Budgets
 
06:18
In this video, Seth Vargo and Liz Fong-Jones discuss how the SRE discipline reduces tension over velocity/stability between product teams and system operators by quantifying risk and employing error budgets. Striving for 100% availability in a service isn't just impossible, it's unnecessary. Maximizing stability limits how quickly new features can be delivered to users. Extreme availability produces diminishing returns as user experience becomes dominated by less reliable components like cellular networks or WiFi. While we want to reduce the risk of system failure, we also have to accept risk in order to deliver new products and features. In the SRE discipline, error budgets are the prescriptive, quantitative measurements for how much risk a service is willing to tolerate. Error budgets are the byproduct of the agreed-upon SLOs (Service Level Objectives) between product owners and systems engineers. Risk and error budgets are directly related to many DevOps principles. Error budgets clearly define that "accidents are normal" by quantifying accidents and risk. Error budgets also enforce that "change should be gradual", because non-gradual changes could quickly break the SLO and prevent further development for the quarter. This is why we say class SRE implements DevOps. "Embracing Risk" in the O'Reilly SRE Book: https://goo.gl/kNpXrt "How to Prioritize and Communicate Risks" on the GCP Blog: https://goo.gl/ffmU69 Reach out to Liz and Seth: https://twitter.com/sethvargo https://twitter.com/lizthegrey Watch more episodes from the playlist here: https://goo.gl/CKv3tV Subscribe to the Google Cloud Platform channel for more Cloud content: https://goo.gl/S0AS51
Views: 9789 Google Cloud Platform
Visualizing Your Model Using TensorBoard
 
04:37
In this episode of AI Adventures, Yufeng takes us on a tour of TensorBoard, the visualizer built into TensorFlow, to visualize and help debug models. Associated Medium post "Visualizing your model using TensorBoard": https://goo.gl/ckgxhu TensorBoard documentation: https://goo.gl/BPJLtF TensorBoard Talk from TensorFlow Dev Summit 2017: https://goo.gl/ustpVJ Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get the episodes as they come out: https://goo.gl/S0AS51
Views: 34079 Google Cloud Platform
Natural Language Generation at Google Research
 
14:40
In this episode of AI Adventures, Yufeng interviews Google Research engineer Justin Zhao to talk about natural text generation, recurrent neural networks, and state of the art research! RNNs in TensorFlow: https://goo.gl/ss5dEY Character-level language models: https://goo.gl/ffcq52 Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 38096 Google Cloud Platform
Mapping External Services (Kubernetes Best Practices)
 
05:47
In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how to connect to services running outside your Kubernetes cluster to enable hybrid deployments in a Kubernetes native way. See the associated article here → https://goo.gl/cB4STS Google Cloud Datastore (NoSQL Database) → https://goo.gl/OuCfHE Google Cloud Spanner (Global and Ultra Scaleable Relational Database) → https://goo.gl/zhKlir Google Cloud Launcher → https://goo.gl/Pn5Oa8 Google Kubernetes Engine → https://goo.gl/2V8yah Take a look at more Kubernetes Best Practices videos here → https://goo.gl/xTzAGd Subscribe to the Cloud channel → https://goo.gl/S0AS51
Views: 4492 Google Cloud Platform
AutoML Vision - Part 1
 
08:01
In this episode of AI Adventures, Yufeng Guo uses AutoML Vision to build and employ a machine learning model that recognizes different types of….chairs! In part 1, he’ll walk you through gathering the data and creating a csv file that describes the location and label for all the images in the dataset. Don’t miss part 2 to see how the model performs! AutoML data preparation notebook → http://bit.ly/2KQO9Vm Associated blog post → http://bit.ly/2L9rpfh Watch more AI Adventures → http://bit.ly/AIAdventures Subscribe to the Google Cloud Platform channel → http://bit.ly/GCloudPlatform
Views: 9542 Google Cloud Platform
Serverless Predictions at Scale
 
04:43
In this episode of AI Adventures, Yufeng explains how to scale your machine learning using the cloud, no ops work required! Associated Medium post "Serverless predictions at scale": https://goo.gl/oGZw66 TensorFlow Serving Talk from TensorFlow Dev Summit 2017: https://goo.gl/4Gc83e Code from this episode: https://goo.gl/ChcaM9 Exporting TensorFlow Models: https://goo.gl/KSS1gV Iris Dataset: https://goo.gl/UtccyH Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 23764 Google Cloud Platform
Cloud Speech API Demo
 
02:49
The Cloud Speech API (https://cloud.google.com/speech) transcribes audio in over 80 languages, and supports both batch and streaming formats. This demo shows how to make a curl request to the API. Code for the bash script in the demo can be found here: https://github.com/sararob/ml-talk-demos/blob/master/speech/request.sh
Views: 25506 Google Cloud Platform
Google Cloud Encryption in Transit
 
02:59
Watch this video to learn how Google Cloud encrypts data as it moves within and across Google Cloud datacenters. To learn more, read our whitepaper: https://cloud.google.com/security/encryption-in-transit.
Views: 2789 Google Cloud Platform
Toil and Toil Budgets
 
07:46
Liz Fong-Jones and Seth Vargo are back again, this time discussing the SRE topic called "toil". In the SRE discipline, toil is the kind of work tied to running a production service that tends to be manual, repetitive, automatable, tactical, and devoid of long-term value. Toil tends to scale linearly as the service grows. As such, the SRE discipline strives to reduce toil as much as possible. Toil and toil budgets closely influence the desire to "measure everything" and "leverage tooling and automation". By giving operators a quantitative measurement, toil and toil budgets ensure a balance between administering the system and improving it. This is why we say class SRE implements DevOps. Eliminating Toil in the O'Reilly SRE Book: https://goo.gl/TfwupX Twitter: https://twitter.com/sethvargo https://twitter.com/lizthegrey class SRE implements DevOps Playlist: https://goo.gl/CKv3tV Subscribe to the Google Cloud Platform channel: https://goo.gl/S0AS51
Views: 6207 Google Cloud Platform
How to run a terabyte of queries each month without a credit card - TIL with BigQuery
 
03:47
BigQuery lets you process your first terabyte of data, every month, at no cost. If you’re new to BigQuery, and are interested in playing with our public datasets, this video will show you how you can use this free tier without even needing to provide your credit-card details. Blog post on getting a 1TB of queries without a credit card: https://goo.gl/hLftQg Join us every week for Today I Learned with BigQuery, where we’ll be launching new public datasets, demonstrating BigQuery, sharing protips, and offering interviews with industry experts. Today I Learned with BigQuery Playlist: https://goo.gl/6kVbuq Google BigQuery: http://cloud.google.com/bigquery
Views: 4999 Google Cloud Platform
SLIs, SLOs, SLAs, oh my!
 
08:05
Liz Fong-Jones and Seth Vargo are back again with 8 minutes of action-packed SRE and DevOps education. This video discusses building blocks of the DevOps and SRE practice of measurement: Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs): "Service Level Objectives" in the O'Reilly SRE Book: https://goo.gl/3btxFE → SLIs are Service Level Indicators or metrics over time which inform about the health of a service. → SLOs are Service Level Objectives which are agreed upon bounds for how often those SLIs must be met. → SLAs are business-level agreements which define the service availability for a customer and the penalties for breaking that availability. SLIs and SLOs are the prescriptive way in which SRE practices the DevOps principle of "measure everything". Implementing SLOs also forces collaboration between product owners and systems operators, adhering to the DevOps principle of "break down organizational barriers". This is why we say class SRE implements DevOps. Reach out to Liz and Seth: https://twitter.com/sethvargo https://twitter.com/lizthegrey Watch more episodes from the playlist here: https://goo.gl/CKv3tV Subscribe to the Google Cloud Platform channel for more Cloud content: https://goo.gl/S0AS51
Views: 28945 Google Cloud Platform
Big Data for Training Models in the Cloud
 
03:19
What do you do when your data is too big to fit on your machine? In this episode of Cloud AI Adventures, Yufeng walks through some of the options and rationale for putting your big data in the cloud. Associated Medium post "Big Data for Training Models in the Cloud": https://goo.gl/XYL9uV Google Cloud Storage: https://goo.gl/MbeKRy gsutil: https://goo.gl/6v9Tac Google Transfer Appliance: https://goo.gl/cfZynF Data transfer guide: https://goo.gl/m37jQN Cloud machine learning: https://goo.gl/Ds9q2F Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 10537 Google Cloud Platform
Introduction to Cloud IAM
 
04:13
Cloud IAM is Google Cloud Platform’s unified system for managing access to resources and assigning permissions for users and services to access those resources. This video will take you through the basic terms and concepts you need to use Cloud IAM.
Views: 14984 Google Cloud Platform
Microservices in the Cloud with Kubernetes and Istio (Google I/O '18)
 
38:01
Are you building or interested in building microservices? They are a powerful method to build a scalable and agile backend, but managing these services can feel daunting: building, deploying, service discovery, load balancing, routing, tracing, auth, graceful failures, rate limits, and more. This session will show you how the Kubernetes container management system and Istio service mesh can simplify many of the operational challenges of microservices, including an in-depth live demo. Rate this session by signing-in on the I/O website here → https://goo.gl/Ba7duU Watch more GCP sessions from I/O '18 here → https://goo.gl/qw2mR1 See all the sessions from Google I/O '18 here → https://goo.gl/q1Tr8x Subscribe to the Google Cloud Platform channel → https://goo.gl/S0AS51 #io18
Views: 59511 Google Cloud Platform
What is Cloud Job Discovery?
 
02:55
Looking to get more qualified candidates out of your job property or career site channel? Tarquin Clark explains the value of Cloud Job Discovery and how it uses machine learning to match people to the right jobs, resulting in higher engagement and increased candidate conversion. For more information, visit cloud.google.com/job-discovery
Views: 6722 Google Cloud Platform
Streaming music for every moment with Spotify and Google Cloud Platform
 
01:48
Two billion playlists. 30 million tracks. 75 million listeners and counting. This is just the start of how Spotify is bringing music streaming to the world. But serving the perfect song for every moment (not to mention personalized features like “Discover Weekly”) takes a lot of computing power. And time. Now, thanks to Google Cloud Platform, queries that used to take a day now take minutes. The result: less time managing and more time developing the best app experience possible.
Views: 21444 Google Cloud Platform
The External IP Problem
 
02:41
In this episode of Cloud Performance Atlas, Colt McAnlis helps some leaping lizards track down why their bandwidth was in the weeds. Will they catch what’s bugging them? Stay tuned to find out! See the associated article here: https://goo.gl/1SNvEU Check out more Cloud Performance Atlas videos here: https://goo.gl/RGsQlF Don't forget to subscribe to the channel! https://goo.gl/S0AS51
Views: 5608 Google Cloud Platform
Combining CDN + Load Balancing for Better Performance
 
02:59
In this episode of Cloud Performance Atlas, Colt McAnlis helps some tax experts break out from the crowd, reduce their instance count, and leverage the hidden features of Google's load balancers. See the associated article here: https://goo.gl/XzJ6qF Check out more Cloud Performance Atlas videos here: https://goo.gl/RGsQlF Don't forget to subscribe to the channel! https://goo.gl/S0AS51
Views: 6459 Google Cloud Platform
Preparing Your Image Data in AutoML Vision
 
04:16
Cloud AutoML Vision is a machine learning product that helps developers train models. In this video, Sara gives some tips and tricks to help prepare your image data in Cloud AutoML vision. She covers uploading and labeling images, reviewing image labels and managing the images in the UI, and exporting your data set to a Cloud storage directory. Watch this step-by-step tutorial and stay tuned for future videos on AutoML vision! Learn more → http://bit.ly/2uKwDIh Subscribe to the GCP channel → http://bit.ly/GCloudPlatform
Views: 5203 Google Cloud Platform
Machine Learning Meets Fashion
 
05:32
In this episode of AI Adventures, Yufeng showcases many of the machine learning tools introduced so far by working through an end-to-end example with a fashionable dataset. Associated Medium post, "Machine Learning Meets Fashion": https://goo.gl/ukRnsY Links to Yufengs articles & previous episodes of AI Adventures! Episode 2, The 7 Steps of Machine Learning: https://goo.gl/HLdooZ Episode 3, Plain and Simple Estimators: https://goo.gl/M5jkes Episode 4, Serverless Predictions at Scale: https://goo.gl/ZGy4SZ Episode 5, Visualizing your Model: https://goo.gl/ZQGGUw Episode 6, Deep Neural Networks: https://goo.gl/ckGfhy TensorBoard: https://goo.gl/BPJLtF Fashion-mnist dataset: https://goo.gl/QXU1pw Code from this episode: https://goo.gl/KBUuJg Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to Google Cloud to get all new episodes! : https://goo.gl/S0AS51
Views: 15642 Google Cloud Platform
Getting Started with Keras
 
08:11
Getting started with Keras has never been easier! Not only is it built into TensorFlow, but when you combine it with Kaggle Kernels you don’t have to install anything! Plus you get to take advantage of the resources from the Kaggle community. In this episode of AI Adventures, Yufeng shows you how to get started with Keras. Take a look! Associated blog post → http://bit.ly/2w87Spr Get started with Keras → http://bit.ly/2vTMPXt Previous video with Fashion-MNIST → http://bit.ly/2w6IuA7 Watch more AI Adventures → http://bit.ly/AIAdventures Subscribe to the Google Cloud Platform channel → http://bit.ly/GCloudPlatform
Views: 5105 Google Cloud Platform
Google Cloud Functions: real-time file processing
 
04:03
Learn how to run code in response to file uploads to a Cloud Storage bucket. In this demo, Bret McGowen shows how to understand the content of an image uploaded to Cloud Storage using Cloud Vision API and save labels to a BigQuery database with Cloud Functions. Learn more at https://cloud.google.com/functions
Views: 2636 Google Cloud Platform
Choosing your storage and database on Google Cloud Platform
 
19:56
Different applications and workloads require different storage solutions. Google Cloud Platform offers a full suite of storage and database solutions to meet your needs, from a hobbyist in a garage to a Fortune 500 company. This video will help you understand which solutions fit your scenarios, be they mobile applications, hosting commercial software, data pipelines, or storing backups. Cloud Storage: https://cloud.google.com/storage/docs/ Cloud SQL: https://cloud.google.com/sql/docs/ Datastore: https://cloud.google.com/datastore/docs/ Bigtable: https://cloud.google.com/bigtable/docs/ BigQuery: https://cloud.google.com/bigquery/docs/
Views: 45626 Google Cloud Platform