About tf data tools results of 10,000

Relevance

Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19)

22:21

Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19)

206

Answering your TF Lite questions and more! (#AskTensorFlow)

15:40

Answering your TF Lite questions and more! (#AskTensorFlow)

2

Inside TensorFlow: TF Debugging

38:27

Inside TensorFlow: TF Debugging

4

TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20)

14:40

TensorFlow Lite: ML for mobile and IoT devices (TF Dev Summit '20)

6

Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)

12:44

Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)

4

TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)

05:07

TF Lattice: Control Your ML with Monotonicity (TF Dev Summit '19)

1

TF Lite Lens (TF Dev Summit '20)

07:44

TF Lite Lens (TF Dev Summit '20)

2

Inside TensorFlow: MLIR for TF developers

43:41

Inside TensorFlow: MLIR for TF developers

8

Responsible AI with TensorFlow (TF Dev Summit '20)

21:52

Responsible AI with TensorFlow (TF Dev Summit '20)

2

MLIR: Accelerating TF with compilers (TF Dev Summit '20)

10:19

MLIR: Accelerating TF with compilers (TF Dev Summit '20)

2

TensorFlow Profiler demo (TF Dev Summit '20)

07:51

TensorFlow Profiler demo (TF Dev Summit '20)

3

TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)

36:49

TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)

4

TensorFlow Hub: Making model discovery easy (TF Dev Summit '20)

09:03

TensorFlow Hub: Making model discovery easy (TF Dev Summit '20)

2

When Everything Goes Wrong

02:40

When Everything Goes Wrong

13

TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19)

07:36

TensorFlow Hub: Reusable Machine Learning (TF Dev Summit '19)

3

TensorFlow Dev Summit 2020 Keynote

31:12

TensorFlow Dev Summit 2020 Keynote

3

TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)

39:10

TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)

3

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

06:44

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

7

FAA NextGen Gate to Gate 新一代飛航管理系統- 門戶直達 [CC字幕]

06:07

FAA NextGen Gate to Gate 新一代飛航管理系統- 門戶直達 [CC字幕]

1878

Cutting Edge TensorFlow: New Techniques (Google I/O'19)

37:32

Cutting Edge TensorFlow: New Techniques (Google I/O'19)

3

Inside TensorFlow: tf.data - TF Input Pipeline

53:52

Inside TensorFlow: tf.data - TF Input Pipeline

5

Inside TensorFlow: TF-Agents

49:59

Inside TensorFlow: TF-Agents

5

TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19)

13:26

TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19)

DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes

21:17

DEEP LEARNING WITH TENSORFLOW TUTORIAL | Introduction to TensorFlow Syntax in 20 Minutes

16

TensorFlow Probability: Learning with confidence (TF Dev Summit '19)

13:57

TensorFlow Probability: Learning with confidence (TF Dev Summit '19)

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)

3

TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)

24:22

TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)

3

Federated learning with TensorFlow Federated (TF World '19)

44:44

Federated learning with TensorFlow Federated (TF World '19)

5

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

31:26

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

4

Machine Learning on Your Device: The Options (Google I/O'19)

38:32

Machine Learning on Your Device: The Options (Google I/O'19)

4

Inside TensorFlow: Summaries and TensorBoard

43:23

Inside TensorFlow: Summaries and TensorBoard

1

TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets)

08:20

TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets)

1

Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)

42:35

Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)

2

Building models with tf.text (TF World '19)

39:33

Building models with tf.text (TF World '19)

3

Sonnet 2.0 (TF Dev Summit ‘19)

14:27

Sonnet 2.0 (TF Dev Summit ‘19)

4

TF 2.x on Kaggle (TF Dev Summit '20)

05:33

TF 2.x on Kaggle (TF Dev Summit '20)

2

Distributed Processing and Components (TensorFlow Extended)

11:48

Distributed Processing and Components (TensorFlow Extended)

8

Neural structured learning in TensorFlow (TF World '19)

42:30

Neural structured learning in TensorFlow (TF World '19)

1

TensorFlow Extended (TFX) Overview and Pre-training Workflow (TF Dev Summit '19)

31:35

TensorFlow Extended (TFX) Overview and Pre-training Workflow (TF Dev Summit '19)

2

ML solutions for Live Perception (TF Dev Summit '20)

16:40

ML solutions for Live Perception (TF Dev Summit '20)

4

TensorFlow Dev Summit 2019 Keynote

31:43

TensorFlow Dev Summit 2019 Keynote

3

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

09:47

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

5

Research with TensorFlow (TF Dev Summit '20)

16:01

Research with TensorFlow (TF Dev Summit '20)

4

How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow)

04:24

How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow)

9

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

40:50

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

1

Plain and Simple Estimators (AI Adventures)

05:47

Plain and Simple Estimators (AI Adventures)

59