Book Image

The Deep Learning Workshop

By : Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So
Book Image

The Deep Learning Workshop

By: Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So

Overview of this book

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.
Table of Contents (9 chapters)


In the previous chapters, we learned about traditional neural networks and a number of models, such as the perceptron. We learned how to train such models on structured data for regression or classification purposes. Now, we will learn how we can extend their application to the computer vision field.

Not so long ago, computers were perceived as computing engines that could only process well-defined and logical tasks. Humans, on the other hand, are more complex since we have five basic senses that help us see things, hear noises, feel things, taste foods, and smell odors. Computers were only calculators that could operate large volumes of logical operations, but they couldn't deal with complex data. Compared to the abilities of humans, computers had very clear limitations.

There were some rudimentary attempts to “give sight" to computers by processing and analyzing digital images. This field is called computer vision. But it was not until the advent...