TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)

TensorFlow · Beginner ·📄 Research Papers Explained ·8y ago

Key Takeaways

TensorFlow Extended (TFX) is an end-to-end ML platform built around TensorFlow, introduced in a 2017 KDD paper, with components including TF.Transform, TF.Serving, and TensorFlow Model Analysis (TFMA). The video presents an end-to-end demo of these tools and announces plans for releasing more of TFX.

Original Description

Clemens Mewald and Raz Mathias present TFX, which is an end-to-end ML platform built around TensorFlow and first introduced to the public in a 2017 KDD paper. While TF.Transform and TF.Serving are already open sourced, Clemens introduces a new component, TensorFlow Model Analysis (TFMA), and give an end-to-end demo of how those tools fit together. They also announce plans about releasing more of TFX. Model Analysis Github → https://goo.gl/4DBvX7 TensorFlow Dev Summit 2018 All Sessions playlist → https://goo.gl/Lsaq1R Subscribe to the TensorFlow channel → https://goo.gl/ht3WGe event: TensorFlow Dev Summit 2018; re_ty: Publish; product: TensorFlow - TensorFlow Extended; fullname: Clemens Mewald, Raz Mathias; event: TensorFlow Dev Summit 2018;
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Playlist

Uploads from TensorFlow · TensorFlow · 23 of 60

1 The TensorFlow YouTube Channel is Here!
The TensorFlow YouTube Channel is Here!
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2 Answering Your TF Questions #AskTensorFlow
Answering Your TF Questions #AskTensorFlow
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3 Chatting With the TensorFlow Community (TensorFlow Meets)
Chatting With the TensorFlow Community (TensorFlow Meets)
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4 All About TensorFlow Code (Coding TensorFlow)
All About TensorFlow Code (Coding TensorFlow)
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5 TensorFlow: an ML platform for solving impactful and challenging problems
TensorFlow: an ML platform for solving impactful and challenging problems
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6 Keynote (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
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7 tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
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8 Eager Execution (TensorFlow Dev Summit 2018)
Eager Execution (TensorFlow Dev Summit 2018)
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9 Machine Learning in JavaScript (TensorFlow Dev Summit 2018)
Machine Learning in JavaScript (TensorFlow Dev Summit 2018)
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10 Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
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11 The Practitioner's Guide with TF High Level APIs (TensorFlow Dev Summit 2018)
The Practitioner's Guide with TF High Level APIs (TensorFlow Dev Summit 2018)
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12 Distributed TensorFlow (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
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13 Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
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14 TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow
15 Searching Over Ideas (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
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16 Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
TensorFlow
17 Nucleus: TensorFlow toolkit for Genomics (TensorFlow Dev Summit 2018)
Nucleus: TensorFlow toolkit for Genomics (TensorFlow Dev Summit 2018)
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18 Open Source Collaboration (TensorFlow Dev Summit 2018)
Open Source Collaboration (TensorFlow Dev Summit 2018)
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19 Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
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20 TensorFlow Hub (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
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21 Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)
Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)
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22 Real-World Robot Learning (TensorFlow Dev Summit 2018)
Real-World Robot Learning (TensorFlow Dev Summit 2018)
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TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
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24 Project Magenta (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
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25 TensorFlow Dev Summit 2018 - Livestream
TensorFlow Dev Summit 2018 - Livestream
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26 Introducing TensorFlow Lite (Coding TensorFlow)
Introducing TensorFlow Lite (Coding TensorFlow)
TensorFlow
27 TensorFlow Dev Summit 2018 Highlights
TensorFlow Dev Summit 2018 Highlights
TensorFlow
28 Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
TensorFlow
29 TensorFlow Mobile vs. TF Lite and More! #AskTensorFlow
TensorFlow Mobile vs. TF Lite and More! #AskTensorFlow
TensorFlow
30 Using TensorFlow to enable research & production across many fields (TensorFlow Meets)
Using TensorFlow to enable research & production across many fields (TensorFlow Meets)
TensorFlow
31 Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)
Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)
TensorFlow
32 TensorFlow Lite for Android (Coding TensorFlow)
TensorFlow Lite for Android (Coding TensorFlow)
TensorFlow
33 Using the tf.data API to build input pipelines (TensorFlow Meets)
Using the tf.data API to build input pipelines (TensorFlow Meets)
TensorFlow
34 Training Models in the Cloud & the Benefits of AI Toolkits #AskTensorFlow
Training Models in the Cloud & the Benefits of AI Toolkits #AskTensorFlow
TensorFlow
35 Execute operations immediately with TensorFlow's Eager Execution (TensorFlow Meets)
Execute operations immediately with TensorFlow's Eager Execution (TensorFlow Meets)
TensorFlow
36 TensorFlow Lite for iOS (Coding TensorFlow)
TensorFlow Lite for iOS (Coding TensorFlow)
TensorFlow
37 Get started with TensorFlow's High-Level APIs (Google I/O '18)
Get started with TensorFlow's High-Level APIs (Google I/O '18)
TensorFlow
38 TensorFlow for JavaScript (Google I/O '18)
TensorFlow for JavaScript (Google I/O '18)
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39 TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)
TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)
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40 Get started with TensorFlow's High-Level APIs in 5 mins |  Google I/O 2018
Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018
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41 TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)
TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)
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42 TensorFlow Lite for mobile developers (Google I/O '18)
TensorFlow Lite for mobile developers (Google I/O '18)
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43 Advances in machine learning and TensorFlow (Google I/O '18)
Advances in machine learning and TensorFlow (Google I/O '18)
TensorFlow
44 Distributed TensorFlow training (Google I/O '18)
Distributed TensorFlow training (Google I/O '18)
TensorFlow
45 Classification using neural networks & ML regression models #AskTensorFlow
Classification using neural networks & ML regression models #AskTensorFlow
TensorFlow
46 TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets)
TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets)
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47 Focus on your experiment with TensorFlow Estimators (TensorFlow Meets)
Focus on your experiment with TensorFlow Estimators (TensorFlow Meets)
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48 How to get started with AI/ML, retraining models, & more! #AskTensorFlow
How to get started with AI/ML, retraining models, & more! #AskTensorFlow
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49 TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets)
TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets)
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50 MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets)
MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets)
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51 The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets)
The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets)
TensorFlow
52 At the intersection of TensorFlow & nuclear physics (TensorFlow Meets)
At the intersection of TensorFlow & nuclear physics (TensorFlow Meets)
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53 NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets)
NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets)
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54 Try TensorFlow.js in your browser (Coding TensorFlow)
Try TensorFlow.js in your browser (Coding TensorFlow)
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55 TensorFlow Hub: reusing machine learning modules (TensorFlow Meets)
TensorFlow Hub: reusing machine learning modules (TensorFlow Meets)
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56 How to use TensorFlow in PyCharm (TensorFlow Tip of the Week)
How to use TensorFlow in PyCharm (TensorFlow Tip of the Week)
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57 Training models faster with TensorFlow Hub (TensorFlow Meets)
Training models faster with TensorFlow Hub (TensorFlow Meets)
TensorFlow
58 Prepare your dataset for machine learning (Coding TensorFlow)
Prepare your dataset for machine learning (Coding TensorFlow)
TensorFlow
59 Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)
Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)
TensorFlow
60 TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets)
TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets)
TensorFlow

This video introduces TensorFlow Extended (TFX), an end-to-end ML platform built around TensorFlow, and presents an end-to-end demo of its components, including TF.Transform, TF.Serving, and TensorFlow Model Analysis (TFMA). The video is useful for those who want to learn about TFX and its applications in ML. TFX is an open-source platform that provides a structured approach to building ML pipelines.

Key Takeaways
  1. Install TensorFlow and TFX
  2. Use TF.Transform for data transformation
  3. Deploy models with TF.Serving
  4. Analyze models with TensorFlow Model Analysis (TFMA)
  5. Build end-to-end ML pipelines with TFX
💡 TFX provides a structured approach to building ML pipelines, making it easier to deploy and manage ML models in production environments.

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