Deep Learning By Example
Deep Learning is a subset of Machine Learning and has gained a lot of popularity recently. This book introduces you to the fundamentals of deep learning in a hands-on manner. You will use Tensorflow to train different types of neural networks for tasks related to computer vision, language processing, and other real-world problems.
Offered by
Difficulty Level
Intermediate
Completion Time
15h
Language
English
About Book
Who Is This Book For?
This book targets data scientists and machine learning developers who wish to get started with deep learning. If you know what deep learning is but are not quite sure of how to use it, this book will help you as well. An understanding of statistics and data science concepts is required. Some familiarity with Python programming will also be beneficial.
Deep Learning By Example
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h total length
Data science: Bird's-eye view
Data Modeling in Action - The Titanic Example
Feature Engineering and Model Complexity – The Titanic Example Revisited
Get Up and Running with TensorFlow
Tensorflow in Action - Some Basic Examples
Deep Feed-forward Neural Networks - Implementing Digit Classification
Introduction to Convolutional Neural Networks
Object Detection – CIFAR-10 Example
Object Detection – Transfer Learning with CNNs
Recurrent-Type Neural Networks - Language modeling
Representation Learning - Implementing Word Embeddings
Neural sentiment Analysis
Autoencoders – Feature Extraction and Denoising
Generative Adversarial Networks in Action - Generating New Images
Face Generation and Handling Missing Labels
Appendix - Implementing Fish Recognition
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