About TensorFlow data validation results of 10,000

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Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

22:09

Cloud TPUs (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

6

Swift for TensorFlow (TF World '19)

39:21

Swift for TensorFlow (TF World '19)

2

Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference)

26:36

Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference)

4

TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17)

56:06

TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17)

240

Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning

02:59

Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning

4

TensorFlow Lite: Solution for running ML on-device (TF World '19)

33:43

TensorFlow Lite: Solution for running ML on-device (TF World '19)

4

Getting involved in the TensorFlow community (TF World '19)

31:26

Getting involved in the TensorFlow community (TF World '19)

4

Database to Training Data - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.6

12:29

Database to Training Data - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.6

10

Advances in machine learning and TensorFlow (Google I/O '18)

42:15

Advances in machine learning and TensorFlow (Google I/O '18)

3

Swift for TensorFlow (TensorFlow Meets)

09:50

Swift for TensorFlow (TensorFlow Meets)

4

Inside TensorFlow: Eager execution runtime

45:11

Inside TensorFlow: Eager execution runtime

3

Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7

17:21

Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7

4

TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20)

07:47

TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20)

3

The Complete Data Analyst Roadmap

04:08

The Complete Data Analyst Roadmap

14

Data Analysis 8: Classifying Data - Computerphile

15:49

Data Analysis 8: Classifying Data - Computerphile

11

Build a deep neural network in 4 mins with TensorFlow in Colab

03:54

Build a deep neural network in 4 mins with TensorFlow in Colab

5

Inside TensorFlow: TF Debugging

38:27

Inside TensorFlow: TF Debugging

4

Complete Data Science Training

01:50

Complete Data Science Training

15

Inside TensorFlow: Resources and Variants

46:55

Inside TensorFlow: Resources and Variants

5

Project Magenta (TensorFlow Dev Summit 2018)

13:57

Project Magenta (TensorFlow Dev Summit 2018)

1

TensorFlow.js (TensorFlow Meets)

05:56

TensorFlow.js (TensorFlow Meets)

3

At the intersection of TensorFlow & nuclear physics (TensorFlow Meets)

07:57

At the intersection of TensorFlow & nuclear physics (TensorFlow Meets)

6

The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets)

07:04

The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets)

8

Inside TensorFlow: tf.distribute.Strategy

54:33

Inside TensorFlow: tf.distribute.Strategy

6

TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)

55:52

TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17)

190

Training Neural Network - Python AI in StarCraft II tutorial p.11

22:52

Training Neural Network - Python AI in StarCraft II tutorial p.11

4

Making the most of Colab (TF Dev Summit '20)

06:44

Making the most of Colab (TF Dev Summit '20)

7

Inside TensorFlow: tf.data - TF Input Pipeline

53:52

Inside TensorFlow: tf.data - TF Input Pipeline

5

Easy on-device ML from prototype to production (TF Dev Summit '20)

16:30

Easy on-device ML from prototype to production (TF Dev Summit '20)

2

Deep Learning Frameworks Compared

05:45

Deep Learning Frameworks Compared

88

Plain and Simple Estimators (AI Adventures)

05:47

Plain and Simple Estimators (AI Adventures)

59

Optimizing Neural Network Structures with Keras-Tuner

28:26

Optimizing Neural Network Structures with Keras-Tuner

3

Inside TensorFlow: Control Flow

46:59

Inside TensorFlow: Control Flow

7

TensorFlow model optimization: Quantization and pruning (TF World '19)

40:50

TensorFlow model optimization: Quantization and pruning (TF World '19)

1

How TensorFlow keeps improving (TensorFlow Meets)

06:39

How TensorFlow keeps improving (TensorFlow Meets)

2

Classification using neural networks & ML regression models (#AskTensorFlow)

06:56

Classification using neural networks & ML regression models (#AskTensorFlow)

4

Normalizing and creating sequences Crypto RNN - Deep Learning w/ Python, TensorFlow and Keras p.9

19:08

Normalizing and creating sequences Crypto RNN - Deep Learning w/ Python, TensorFlow and Keras p.9

4

How to get started with AI/ML, retraining models, & more! (#AskTensorFlow)

05:54

How to get started with AI/ML, retraining models, & more! (#AskTensorFlow)

6

TensorFlow 1 vs TensorFlow 2: Is the new TF better?

02:33

TensorFlow 1 vs TensorFlow 2: Is the new TF better?

2

Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow)

03:17

Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow)

4

TensorFlow 2.0: An Overview (#AskTensorFlow)

08:57

TensorFlow 2.0: An Overview (#AskTensorFlow)

3

Performance profiling in TF 2 (TF Dev Summit '20)

09:47

Performance profiling in TF 2 (TF Dev Summit '20)

5

Lecture 8 | Deep Learning Software

78:07

Lecture 8 | Deep Learning Software

68

MySQL - Data Types Introduction

31:01

MySQL - Data Types Introduction

9

Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19)

41:48

Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19)

3

7.10: TensorFlow.js Color Classifier: Training the Model

13:34

7.10: TensorFlow.js Color Classifier: Training the Model

4