Build a Machine Learning Workflow with Keras TensorFlow 2.0
machine · workflow · keras · tensorflow · 2.0 · deep · neural · networks · data · science · models · layers · custom · model · reference · unsupervised · callbacks · convolutional · datas...
This course, Build a Machine Learning Workflow with Keras TensorFlow 2.0, covers how different APIs in Keras lend themselves to different use cases.
In response to the rise of other deep learning frameworks, Keras has transformed itself into a tightly connected part of the TensorFlow 2.0 ecosystem, even as it serves its original purpose of being a high-level, easy-to-use API.
By the end, you will have the skills and knowledge to choose between the many different model-building strategies available in Keras.
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What's inside
8 sections- 1 Table of Contents
- 2 Module 1: Course Overview
- 3 Module 2: Understanding Keras Models and Layers
- 4 Module 3: Building Regression and Classification Models
- 5 Module 4: Building Image Classification Models
- 6 Module 5: Building Unsupervised Machine Learning Models
- 7 Module 6: Implementing Custom Layers and Models
- 8 Summary
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