TensorFlow - Channel

TensorFlow

TensorFlow

Welcome to the official TensorFlow YouTube channel. Stay up to date with the latest TensorFlow news, tutorials, best practices, and more! TensorFlow is an open-source machine learning framework for everyone.

673 videos

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15:36

Learning to read with TensorFlow and Keras (TF Dev Summit '20)

27:16

TensorFlow Quantum: A software platform for hybrid quantum-classical ML (TF Dev Summit '20)

9:25

Getting involved in the TF community (TF Dev Summit '20)

7:47

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

7:50:13

TensorFlow Dev Summit 2020 Livestream

24:22

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

31:12

TensorFlow Dev Summit 2020 Keynote

8:35

Training a model to recognize sentiment in text (NLP Zero to Hero - Part 3)

6:26

Sequencing - Turning sentences into data (NLP Zero to Hero - Part 2)

4:39

Natural Language Processing - Tokenization (NLP Zero to Hero - Part 1)

0:37

Get ready for TensorFlow Dev Summit 2020!

8:06

Neural Structured Learning - Part 4: Adversarial learning for image classification

5:15

Neural Structured Learning - Part 3: Training with synthesized graphs

5:12

Neural Structured Learning - Part 2: Training with natural graphs

26:25

Inside TensorFlow: TF Filesystems

5:13

Neural Structured Learning - Part 1: Framework overview

6:26

Erstellen eines Bildklassifizierers (ML Zero to Hero, Teil 4)

5:54

Einfuehrung in Konvolutionale Neuronale Netzwerke (ML Zero to Hero, Teil 3)

8:08

Grundsätzliche Computer Vision mit ML (ML Zero to Hero, Teil 2)

8:11

Einführung in Maschinelles Lernen (ML Zero to Hero, Teil 1)

42:35

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

6:28

Создаём классификатор изображений (Машинное Обучение: Zero to Hero, часть 4)

6:00

Введение в сверточные нейронные сети (Машинное Обучение Zero to Hero, часть 3)

6:17

Основы Компьютерного Зрения с использованием Машинного Обучения (Машинное Обучение: часть 2)

6:26

Введение в Машинное Обучение (Машинное Обучение: Zero to Hero, часть 1)

7:01

이미지 분류기 구축하기 (ML Zero to Hero 4부)

6:52

컨볼루셔널 뉴럴네트워크의 소개 (ML Zero to Hero 3부)

8:41

머신러닝 기반의 기본적인 컴퓨터 비전 (ML Zero to Hero 2부)

8:11

머신러닝의 소개 (ML Zero to Hero 1부)

7:06

构件一个图像分类器（机器学习从零到一第四集）

6:09

卷积神经网络简介（机器学习从零到一第三集）

8:00

机器学习中的基本计算机视觉概念（机器学习从零到一第二集）

8:27

机器学习简介（机器学习从零到一第一集)

44:44

Federated learning with TensorFlow Federated (TF World '19)

45:11

Inside TensorFlow: Eager execution runtime

5:54

Introducción a las redes neuronales convolucionales (ML Zero to Hero, parte 3)

6:20

Computer vision básica con ML (ML Zero to Hero, parte 2)

6:19

Introducción a Machine Learning (ML Zero to Hero, parte 1)

5:50

Construye un clasificador de imagen (ML Zero to Hero, parte 4)

12:16

Kemal El Moujahid interview (TensorFlow Meets)

5:12

What’s new in TensorFlow from TF World ‘19

44:03

Inside TensorFlow: Graph rewriting (Macros, not functions)

5:42

Construire un classifieur d'images (Coding TensorFlow en français)

6:02

Introduction aux réseaux neuronaux convolutionnel (Coding TensorFlow en français)

7:20

Vision par Ordinateur à l’aide de l’Apprentissage Automatique (Coding TensorFlow en français)

8:21

Introduction à l'apprentissage automatique (Coding TensorFlow en français)

7:25

Megan Kacholia interview (TensorFlow Meets)

43:41

Inside TensorFlow: MLIR for TF developers

1:25

TensorFlow World 2019 Highlights

5:23

Introdução às redes neurais convolucionais (ML de Zero a 100, parte 3)

6:48

Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2)

6:51

Introdução ao Machine Learning (ML de Zero a 100, parte 1)

5:20

Construa um classificador de imagens (ML de Zero a 100, parte 4)

7:21

Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets)

53:55

Inside TensorFlow: AutoGraph

1:29:35

Day 2 Keynote (TF World '19)

43:36

Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19)

42:30

Neural structured learning in TensorFlow (TF World '19)

4:20:18

TensorFlow World 2019 | Day 2 Livestream PM

41:46

TFX: Production ML pipelines with TensorFlow (TF World '19)

40:50

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

33:43

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

33:35

Great TensorFlow Research Cloud projects from around the world (TF World '19)

9:05:40

TensorFlow World 2019 | Day 1 Livestream

31:26

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

40:35

Performant, scalable models in TensorFlow 2 with tf.data, tf.function & tf.distribute (TF World '19)

39:33

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

39:21

Swift for TensorFlow (TF World '19)

40:56

Introduction to TensorFlow 2.0: Easier for beginners, and more powerful for experts (TF World '19)

1:16:41

TensorFlow World 2019 Keynote

37:31

Inside TensorFlow: TensorFlow Lite

3:11

Powered by TensorFlow: Helping doctors detect respiratory diseases using machine learning

4:10

Announcing TensorFlow 2.0 (Coding TensorFlow)

7:31

Construa uma rede neural para executar a classificação (Coding TensorFlow em português)

7:27

Prepare o seu conjunto de dados para machine learning (Coding TensorFlow em português)

5:26

Build an image classifier (ML Zero to Hero - Part 4)

5:33

Introducing convolutional neural networks (ML Zero to Hero - Part 3)

7:24

Basic Computer Vision with ML (ML Zero to Hero - Part 2)

7:18

Intro to Machine Learning (ML Zero to Hero - Part 1)

51:34

Inside TensorFlow: tf.Keras (part 2)

53:37

Inside TensorFlow: tf.Keras (Part 1)

54:33

Inside TensorFlow: tf.distribute.Strategy

8:53

Model Understanding and Business Reality (TensorFlow Extended)

15:40

Answering your TF Lite questions and more! #AskTensorFlow

11:48

Distributed Processing and Components (TensorFlow Extended)

5:32

Why do I need metadata? (TensorFlow Extended)

5:00

How do TFX pipelines work? (TensorFlow Extended)

5:56

TensorFlow.js (TensorFlow Meets)

5:46

What exactly is this TFX thing? (TensorFlow Extended)

4:49

TF-Agents: Reinforcement Learning (TensorFlow Meets)

5:22

TensorFlow 2.0 and Keras #AskTensorFlow

4:47

TensorFlow Extended (TFX) and Metadata (TensorFlow Meets)

46:09

Inside TensorFlow: Functions, not sessions

8:57

TensorFlow 2.0: An Overview #AskTensorFlow

8:19

Arun Subramaniyan discusses probabilistic modeling (TensorFlow Meets)

8:11

Working with TensorFlow Datasets (TensorFlow Meets)

46:55

Inside TensorFlow: Resources and Variants

6:31

The Power of Swift for Machine Learning (TensorFlow Meets)

2:44

ML & AI sandbox demos at Google I/O 2019

43:23

Inside TensorFlow: Summaries and TensorBoard