A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras

A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras

5 hours, 22 minutes CC

Understand the evolution of machine learning, deep learning, and now artificial intelligence (AI). In this course, you'll follow a series of practical examples of training machine learning models to come up with accurate predictions. You'll use TensorFlow to create the models and Keras, a high-level Python API for building and training deep learning models on top of TensorFlow. Examples in this course include: identifying animal breeds in photos, analyzing blocks of text to determine which renowned author wrote it, and stylizing images trained by famous painters!

This course and others like it are available as part of our Frontend Masters video subscription.

Published: March 3, 2020
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Table of Contents

Introduction

Machine Learning, Neural Networks & Deep Learning

Linear Regression

Image Processing & Model Training

Convolution & Pooling

Text Analytics

Wrapping Up