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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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2:47

Powered by TensorFlow: Creating a custom, machine learning-powered drumming arm

11:17

Self Driving Cars using Udacity Car Simulator - Made with TensorFlow.js

15:55

Making OSS Machine Learning communities more diverse | Keynote

53:49

Gradient ascent for your career | Breakout session

51:24

I'm a developer, how can I become an ML developer? | Breakout session

10:05

Why diversity matters in Machine Learning communities | Keynote

51:18

How to get started in Machine Learning | Breakout session

10:01

Get involved in Machine Learning

34:10

From being the only woman in the room to empowering the next generation | Fireside chat

10:54

Pose estimation for sport routines - Made with TensorFlow.js

3:35

Top takeaways from Women in Machine Learning Symposium 2021

11:56

Visualizing autoencoders - Made with TensorFlow.js

8:46

Classifying satellite imagery - Made with TensorFlow.js

2:31:39

Women in Machine Learning Symposium 2021 livestream

0:42

Announcing Google's Machine Learning Virtual Community Day

15:08

Accessible data science with Hal9 - Made with TensorFlow.js

14:27

Real time motion capture for VTubers - Made with TensorFlow.js

0:52

Introducing the first Women in Machine Learning Symposium

1:21:53

TensorFlow.js Community "Show & Tell" #6

21:04

How to make TensorFlow models run faster on GPUs

6:56

Efficient serving with ScaNN for retrieval (Building recommendation systems with TensorFlow)

31:32

Best practices for ML product decisions (ML Tech Talks)

5:14

Deep & Cross Network (Building recommendation systems with TensorFlow)

31:55

Federated learning: Basics and application to the mobile keyboard (ML Tech Talks)

8:05

Leveraging context features and multitask learning (Building recommendation systems with TensorFlow)

44:59

Transfer learning and Transformer models (ML Tech Talks)

5:20

Building a ranking model with TF Recommenders (Building recommendation systems with TensorFlow)

45:45

Introduction to Explainable AI (ML Tech Talks)

12:50

Intro to TensorFlow Recommenders (Building recommendation systems with TensorFlow)

8:36

Content-based filtering & collaborative filtering (Building recommendation systems with TensorFlow)

59:11

Generative Adversarial Networks and TF-GAN (ML Tech Talks)

12:06

Recommendation systems overview (Building recommendation systems with TensorFlow)

48:03

Building AI models for healthcare (ML Tech Talks)

8:24

TFLite delegates

10:30

模型优化工具箱（MOT）

10:57

使用TF Object Detection API训练模型

7:24

TFLite深入介绍

7:12

使用TFLite Model Maker和Task API快速开发机器学习app

7:26

使用训练好的TFLite模型以及TFLite常见使用场景

11:11

使用TFLite Model Maker完成看图识花app

7:53

TFLite快速简介

51:06

Intro to graph neural networks (ML Tech Talks)

38:27

A friendly introduction to linear algebra for ML (ML Tech Talks)

30:15

TensorFlow from the ground up (ML Tech Talks)

10:47

Gesture control for in-car systems with DepthSense and React Native - Made with TensorFlow.js

7:54

Getting started with TensorFlow Cloud

2:45

Train TensorFlow models at cloud scale with TensorFlow Cloud | Demo

3:01

Beyond evaluation: Improving fairness with Model Remediation | Demo

2:25

Easily deploy TF Lite models to the web | Demo

55:41

TensorFlow.js: Make a smart webcam in JS with a pre-trained ML model | Workshop

30:31

Google's AI Map | Q&A

55:01

Building trusted AI products | Workshop

30:58

Make your app a product with the TFX team | Q&A

49:38

Build and deploy custom object detection model with TensorFlow Lite | Workshop

54:30

Building with TensorFlow Lite for microcontrollers | Workshop

27:46

Machine Learning on the web with TensorFlow.js | Q&A

3:49

What is TensorFlow Cloud?

50:44

Hands on with Cloud AI | Workshop

45:29

Anomaly detection with TensorFlow | Workshop

29:35

On-device machine learning in mobile and web apps | Q&A

5:32

Top 10 AI and ML developer updates from Google I/O 2021

13:59

Building with the Responsible AI toolkit | Session

15:23

TensorFlow Hub for real world impact | Session

12:17

Cross platform computer vision made easy with Model Maker | Session

13:23

Coral: Expanding the edge AI landscape | Session

13:30

Optimize your TensorFlow Lite models | Session

13:56

Does your app use ML? Make it a product with TFX | Session

12:43

Spotting and solving everyday problems with machine learning | Session

15:04

Machine learning for next gen web apps with TensorFlow.js | Session

12:22

ML Kit: Turnkey APIs to use on-device ML in mobile apps | Session

14:12

Modern Keras design patterns | Session

9:22

Decision forests in TensorFlow | Session

33:11

What's new in Machine Learning | Keynote

9:23

Introduction to Tensorflow.js and Machine Learning

3:08

Going further with text classification

7:06

On-device product image search: Call the product search backend

3:25

On-device object detection: Introduction

4:00

Getting started with image classification

3:45

Going further with Image Classification

1:52

On-device product image search: Introduction

9:23

Introduction to Tensorflow.js and Machine Learning

3:53

Retraining a spam detection model to handle new edge cases

12:04

On-device object detection: Train and deploy a custom TensorFlow Lite model

6:49

Machine Learning for audio classification

3:44

Getting started with text classification to detect comment spam

4:51

On-device product image search: Build an object detector

3:44

On-device object detection: Add a pre-trained model to your app

8:29

Comment spam detection: Choosing a pre-made tf.js model, quantization, and word vectors explained

2:18

Getting started with text classification

3:52

Adding audio classification to your mobile app with a pre-trained model

10:42

Using a TensorFlow Python MIRNet model in Node.js - Made with TensorFlow.js

7:03

Motion based parallax with face tracking - Made with TensorFlow.js

6:49

Tune any musical instrument with ML5 and Crepe - Made with TensorFlow.js

9:19

Node-Red: Visual coding for ML on Raspberry Pi and beyond - Made with TensorFlow.js

9:44

adversarial.js: Break any neural network live in your browser - Made with TensorFlow.js

14:23

ml5.js: Creative coding with ML for all - Made with TensorFlow.js

1:22:04

TensorFlow.js Community "Show & Tell" #5

1:14:17

Intro to Deep Learning (ML Tech Talks)

7:05

Xây dựng bộ phân loại hình ảnh (Machine Learning: Zero to Hero, phần 4)

7:03

Giới thiệu về mạng nơ ron tích chập (Machine Learning: Zero to Hero, phần 3)