Learning TensorFlow with JavaScript

سرفصل های دوره

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.

01 - Introduction

01 - Learning TensorFlow

02 - Course prerequisites

02 - 1. Introduction and Setup

01 - Introduction to TensorFlow

02 - Differences between versions

03 - Introduction to machine learning

04 - A TensorFlow demo

05 - Initial project creation with TensorFlow

03 - 2. TensorFlow Basics

01 - Your first tensor

02 - Tensors and variables

03 - Operations, or ops

04 - Model introduction

05 - Layers introduction

04 - 3. Exploration of a Full Project

01 - Import example project

02 - Exploration of the dataset

03 - Exploration of the models and layers

04 - Exploration of training the model

05 - See the live example

05 - 4. Advanced Subjects

01 - Use Python-based models in JS

02 - Convert SavedModel to web

06 - Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)