The Deep Learning Workshop: Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and int Contributor(s): Baig, Mirza Rahim (Author), Joseph, Thomas V. (Author), Sadvilkar, Nipun (Author) |
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ISBN: 1839219858 ISBN-13: 9781839219856 Publisher: Packt Publishing OUR PRICE: $41.79 Product Type: Paperback Published: July 2020 |
Additional Information |
BISAC Categories: - Computers | Programming Languages - Python - Computers | Neural Networks - Computers | Intelligence (ai) & Semantics |
Dewey: 006.31 |
Physical Information: 0.95" H x 7.5" W x 9.25" (1.78 lbs) 474 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Key Features
Book 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
Who this book is for If you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly. |