Grokking Deep Learning – MEAP v10 – Andrew W.Trask
It is a powerful tool for the incremental automation of intelligence.From the beginning of time, humans have been building better and better tools to understand […]
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Fundamentals of Deep Learning – Nikhil Bubuma
The brain is the most incredible organ in the human body. It dictates the way we per‐ ceive every sight, sound, smell, taste, and touch. […]
Deep Learning for Natural Language Processing – Palash Goyal & Sumit Pandey & Karan Jain
This book attempts to simplify and present the concepts of deep learning in a very comprehensive manner, with suitable, full-fledged examples of neural network architectures, […]
Deep Learning for Natural Language Processing – Jason Brownlee
We are awash with text, from books, papers, blogs, tweets, news, and increasingly text from spoken utterances. Every day, I get questions asking how to […]
Deep Learning with Theano – Christopher Bourez
Chapter 1, Theano Basics, helps the reader to reader learn main concepts of Theano to write code that can compile on different hardware architectures and […]
Deep Learning with PyTorch – Vishnu Subramanian
PyTorch is grabbing the attention of data science professionals and deep learning practitioners due to its flexibility and ease of use. This book introduces the […]
Deep Learning with Python – Francois Chollet
If you’ve picked up this book, you’re probably aware of the extraordinary progress that deep learning has represented for the field of artificial intelligence in […]
Deep Learning with Python – A Hands-on Introduction – Nikhil Ketkar
The field of Artificial Intelligence (AI), which can definitely be considered to be the parent field of deep learning, has a rich history going back […]
Deep Learning with Keras – Antonio Gulli & Sujit Pal
Artificial intelligence (AI ) is a very large research field, where machines show cognitive capabilities such as learning behaviours, proactive interaction with the environment, inference […]
Deep Learning with Hadoop – Dipayan Dev
Chapter 1, Introduction to Deep Learning, covers how deep learning has gained its popularity over the last decade and is now growing even faster than […]
Deep Learning with Applications Using Python – Navin Kumar Manaswi
Deep Learning has come a really long way. From the birth of the idea to understand human mind and the concept of associationism — how […]
Deep Learning in Python – LazyProgrammer
Deep learning is making waves. At the time of this writing (March 2016 ), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol […]
Deep Learning – Ian Goodfellow & Yoshua Bengio & Aaron Courville
We would like to thank those who commented on our proposal for the book and helped plan its contents and organization: Guillaume Alain, Kyunghyun Cho, […]
Deep Learning – A Practitioner’s Approach – Josh Patterson & Adam Gibson
Although interest in machine learning has reached a high point, lofty expectations often scut tle projects before they get very far. How can machine learning—especially […]
Coding Theory – Algorithms, Architectures and Application
Modern information and communication systems are based on the reliable and efficient transmission of information. Channels encountered in practical applications are usually disturbed regardless of […]
Building Machine Learning Systems with Python – Willi Richert & Luis Pedro Coelho
You could argue that it is a fortunate coincidence that you are holding this book in your hands (or your e-book reader). After all, there […]
Python Data Structures and Algorithms – Benjamin Baka
A knowledge of data structures and the algorithms that bring them to life is the key to building successful data applications. With this knowledge, we […]
Python Machine Learning – Sebastian Raschka
We live in the midst of a data deluge. According to recent estimates, 2.5 quintillion (1018) bytes of data are generated on a daily basis. […]
Python for Programmers with introductory AI case studies – Paul Deitel & Harvey Deitel
Welcome to Python for Programmers! In this book, you’ll learn hands-on with today’s most compelling, leading-edge computing technologies, and you’ll program in Python—one of the […]
Introduction to Scientific Programming with Python – Joakim Sundnes
Springer and Simula have launched a new book series, Simula SpringerBriefs on Computing, which aims to provide introductions to select research in computing. The series […]
