Learning TensorFlow with JavaScript

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Emmanuel Henri

57:00

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01 - Introduction

01 - Learning TensorFlow.mp4

01:09

02 - Course prerequisites.mp4

00:51

02 - 1. Introduction and Setup

01 - Introduction to TensorFlow.mp4

01:48

02 - Differences between versions.mp4

01:13

03 - Introduction to machine learning.mp4

02:16

04 - A TensorFlow demo.mp4

03:19

05 - Initial project creation with TensorFlow.mp4

04:49

03 - 2. TensorFlow Basics

01 - Your first tensor.mp4

02:55

02 - Tensors and variables.mp4

04:47

03 - Operations, or ops.mp4

05:41

04 - Model introduction.mp4

05:13

05 - Layers introduction.mp4

04:51

04 - 3. Exploration of a Full Project

01 - Import example project.mp4

01:47

02 - Exploration of the dataset.mp4

02:08

03 - Exploration of the models and layers.mp4

01:47

04 - Exploration of training the model.mp4

02:42

05 - See the live example.mp4

03:26

05 - 4. Advanced Subjects

01 - Use Python-based models in JS.mp4

02:33

02 - Convert SavedModel to web.mp4

02:31

06 - Conclusion

01 - Next steps.mp4

01:14

Description

JavaScript developers can use the TensorFlow framework to create a machine learning (ML) project. This course introduces you to ML basics, and demonstrates how to set up and use TensorFlow to train a model and generate live results. Emmanuel Henri shows how to create a new project; how to work with different tensor types, variables, models, and layers; how to import a project and explore datasets; how TensorFlow executes model training; how to convert a saved model for the web; and more.

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JavaScript

TensorFlow

Emmanuel Henri

Instructor's Courses

An executive with 20+ years of experience in programming, technology, product management, design and business. Published 100+ courses.

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