The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you'll learn the state-of-the-art algorithms to teach the machines how to play games like Go and Atari
Deep Learning Models and its application: An overview with the help of R software Preface Deep lea...
This textbook presents a concise, accessible and engaging first introduction to deep learning, offer...
This book covers both classical and modern models in deep learning. The primary focus is on the theo...
Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate h...
This book explains the essential learning algorithms used for deep and shallow architectures. Packed...
This is the second book in Deep Learning models series by the author. Deep learning models are widel...
This book contains practical implementations of several deep learning projects in multiple domains, ...
Getting started with data science can be overwhelming, even for experienced developers. In this two-...
This book will be a journey for beginners who want to step into the world of deep learning and artif...
This book gives you a practical, hands-on understanding of how you can leverage the power of Python ...
Deep reinforcement learning has gathered much attention recently. Impressive results were achieved i...
Building artificial neural networks and machine learning models in Python with PyTorch and TensorFlo
This book will focus on the fundamentals of deep learning along with reporting on the current state-...
Deep learning is a form of machine learning that enables computers to learn from experience and unde...
This book will give you an in-depth view of the potential of deep learning and neural networks in ga...
Deep Learning Models and its application: An overview with the help of R software Preface Deep lea...
This textbook presents a concise, accessible and engaging first introduction to deep learning, offer...
This book covers both classical and modern models in deep learning. The primary focus is on the theo...
Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate h...
This book explains the essential learning algorithms used for deep and shallow architectures. Packed...
This is the second book in Deep Learning models series by the author. Deep learning models are widel...
This book contains practical implementations of several deep learning projects in multiple domains, ...
Getting started with data science can be overwhelming, even for experienced developers. In this two-...
This book will be a journey for beginners who want to step into the world of deep learning and artif...
This book gives you a practical, hands-on understanding of how you can leverage the power of Python ...
Deep reinforcement learning has gathered much attention recently. Impressive results were achieved i...
Building artificial neural networks and machine learning models in Python with PyTorch and TensorFlo
This book will focus on the fundamentals of deep learning along with reporting on the current state-...
Deep learning is a form of machine learning that enables computers to learn from experience and unde...
This book will give you an in-depth view of the potential of deep learning and neural networks in ga...
Deep Learning Models and its application: An overview with the help of R software Preface Deep lea...
This textbook presents a concise, accessible and engaging first introduction to deep learning, offer...
This book covers both classical and modern models in deep learning. The primary focus is on the theo...
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