Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So. — Packt Publishing Ltd., July 2020. — 474 p. — ISBN: 978-1-83921-985-6. Code files only! Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Are you fascinated by how deep learning powers intelligent...
Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So. — Packt Publishing Ltd., July 2020. — 474 p. — ISBN: 978-1-83921-985-6. Code files only! Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Are you fascinated by how deep learning powers intelligent...
Apress, 2017. — 227 p. — ISBN: 978-1484227336. Code files only! Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R...
Packt Publishing, 2018. — 334 p. Code files only! A hands-on guide to deep learning thats filled with intuitive explanations and engaging practical examples Key Features Designed to iteratively develop the skills of Python users who dont have a data science background Covers the key foundational concepts youll need to know when building deep learning systems Full of...
Packt, 2019. — 328 p. — ISBN: 9781789805673. !Code files only Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Learn Work with different datasets for image classification using CNNs Apply transfer learning to solve complex computer vision problems Use RNNs and their variants such as LSTMs and Gated Recurrent Units...
2nd Edition. — Packt Publishing, 2020. — 444 p. — ISBN: 978-1-83921-757-9. Code files only! Cut through the noise and get real results with a step-by-step approach to understanding deep learning with Keras programming You already know that you want to learn Keras, and a smarter way to learn is to learn by doing. The Deep Learning with Keras Workshop focuses on building up your...
Fullstack.io, 2020. — 769 p. Code files only! Zero to Deep Learning is carefully designed to teach you step-by-step how to build, train, evaluate, improve and deploy deep learning models. Each chapter covers a topic and we provide full code examples as executable Jupyter notebooks. Within the first few minutes, we’ll know enough deep learning to start seeing the benefits of...
Apress, 2018. — 290 p. — ISBN: 148423684X. Code files only! Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep...
Pragmatic Programmers, LLC., 2020. — 342 p. — ISBN: 978-1680506600. Code files only! You’ve decided to tackle machine learning – because you’re job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It’s easy to be intimidated, even as a software developer. The good news is that it doesn’t have to be that hard. Master machine...
Packt Publishing, 2020. — 294 p. — ISBN: 978-1-78899-520-7. Code files only! Use Java and Deeplearning4j to build robust, enterprise-grade deep learning models from scratch Java is one of the most widely used programming languages in the world. With this book, you’ll see how its popular libraries for deep learning, such as Deeplearning4j (DL4J), make deep learning easy....
2nd edition. — Packt Publishing, 2020. — 761 p. — ISBN 9781839210686. An example-rich guide for beginners to start their reinforcement and deep reinforcement learning journey with state-of-the-art distinct algorithms Key Features Covers a vast spectrum of basic-to-advanced RL algorithms with mathematical explanations of each algorithm Learn how to implement algorithms with code...
Manning Publications, 2020. — 266 p.— ISBN 1617296724, 9781617296727. Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you’ll find in the relational databases that real-world...
Packt Publishing, 2018. — 284 p. Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy...
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