Add to ORKGThis book will be a journey for beginners who want to step into the world of deep learning and artificial intelligence. It will thoughtfully take you through the training and implementation of various neural network architectures using the Python ecosystem. You will master each neural network architecture while understanding its working mechanism
This book provides comprehensive coverage of neural networks, their evolution, their structure, the ...
This book covers both classical and modern models in deep learning. The primary focus is on the theo...
This tutorial will give an introduction into neural networks and the basics of deep learning. Aft...
This book explains the essential learning algorithms used for deep and shallow architectures. Packed...
The book will help you learn deep neural networks and their applications in computer vision, generat...
Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate h...
This book contains practical implementations of several deep learning projects in multiple domains, ...
This book will intuitively build on the fundamentals of neural networks, deep learning and thoughtfu...
This book gives you a practical, hands-on understanding of how you can leverage the power of Python ...
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine lear...
In this half-day tutorial, participants first explore the fundamentals of feed-forward neural networ...
This is the second book in Deep Learning models series by the author. Deep learning models are widel...
Unsupervised learning is a key required block in both machine learning and deep learning domains. Yo...
This textbook presents a concise, accessible and engaging first introduction to deep learning, offer...
With this hands-on book, you can master the fundamentals of the core Python language quickly and eff...
This book provides comprehensive coverage of neural networks, their evolution, their structure, the ...
This book covers both classical and modern models in deep learning. The primary focus is on the theo...
This tutorial will give an introduction into neural networks and the basics of deep learning. Aft...
This book explains the essential learning algorithms used for deep and shallow architectures. Packed...
The book will help you learn deep neural networks and their applications in computer vision, generat...
Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate h...
This book contains practical implementations of several deep learning projects in multiple domains, ...
This book will intuitively build on the fundamentals of neural networks, deep learning and thoughtfu...
This book gives you a practical, hands-on understanding of how you can leverage the power of Python ...
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine lear...
In this half-day tutorial, participants first explore the fundamentals of feed-forward neural networ...
This is the second book in Deep Learning models series by the author. Deep learning models are widel...
Unsupervised learning is a key required block in both machine learning and deep learning domains. Yo...
This textbook presents a concise, accessible and engaging first introduction to deep learning, offer...
With this hands-on book, you can master the fundamentals of the core Python language quickly and eff...
This book provides comprehensive coverage of neural networks, their evolution, their structure, the ...
This book covers both classical and modern models in deep learning. The primary focus is on the theo...
This tutorial will give an introduction into neural networks and the basics of deep learning. Aft...