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
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 […]
