The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Mirza Rahim Baig

Thomas Joseph

Nipun Sadvilkar

Mohan Kumar Silaparasetty

Anthony So +1 more

£26.99

4.5 (4 Ratings)

eBook Jul 2020 474 pages 1st Edition

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Key benefits

Understand how to implement deep learning with TensorFlow and Keras

Learn the fundamentals of computer vision and image recognition

Study the architecture of different neural networks

Description

Are you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout. The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You’ll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you’ll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you’ll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis. By the end of this deep learning book, you’ll have learned the skills essential for building deep learning models with TensorFlow and Keras.

What you will learn

Understand how deep learning, machine learning, and artificial intelligence are different

Develop multilayer deep neural networks with TensorFlow

Implement deep neural networks for multiclass classification using Keras

Train CNN models for image recognition

Handle sequence data and use it in conjunction with RNNs

Build a GAN to generate high-quality synthesized images

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Luis René Mata Quiñonez Nov 09, 2020

This is a very good book on deep learning. It is very focused on the most important DL applications by using Keras and TensorFlow. It provides a hands-on approach where examples and models can be easily translated to solve different problems.

Amazon Verified review

James Le Nov 03, 2020

The book makes it easy for you to understand deep learning with the help of interesting examples and exercises throughout. There are 7 chapters in total:- Chapter 1 discusses the practical applications of deep learning.- Chapter 2 teaches you the structure of artificial neural networks.- Chapter 3 covers image processing, how it works, and how that knowledge can be applied to Convolutional Neural Networks (CNNs).- Chapter 4 introduces you to the world of Natural Language Processing.- Chapter 5 shows you how to work on a classic sequence processing task—stock price prediction.- Chapter 6 reviews RNNs' practical drawbacks and how Long Short Term Memory (LSTM) models help overcome them.- Chapter 7 introduces you to generative adversarial networks (GANs) and their basic components.All the chapters provide hands-on exercises for you to work on (using TensorFlow 2.0 and Keras). With more than 400 pages of content, this is a comprehensive coverage of deep learning fundamentals from a programming-intensive perspective!

Hakuna Matata Oct 17, 2020

This is a good introductory book on deep learning - gives you a good tour of all the core fundamentals. Also, I loved the fact that you could try out the examples and code snippets using binger.org infrastructure - this way you don't have to mess with setting up your own environment to run and test the code snippets.One nit is no mention of any of the latest transformer architecture or modern language models such as BERT and RoBERTa.

Jackie K. Dec 13, 2020

This is a decent intro to deep learning that covers Tensorflow and Keras. I was torn between 3 stars and 4. The content from what I can see is good from a nuts and bolts perspective, but there are a few negative aspects to the book. I will just cover one, because I think it is the most important. Many mistakes are made in science by a lack of representation. For example chatbots, don't recognize women's voices well, and there have also been issues with the recognition of various skin colors because models have been trained on bias datasets. None of these issues were brought up in the book even in passing with information on where to learn more. From a nuts and bolts perspective this book is a 4. From a comprehensive intro perspective this book is 3.

The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

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