Free Deep Learning Step By Step With Python: A Very Gentle Introduction To Deep Neural Networks For Practical Data Science Ebooks Online

                
              
Free 
Deep Learning Step By Step With Python: A Very Gentle Introduction To Deep Neural Networks For Practical Data Science Ebooks Online
Finally! Deep Neural Networks Simplified with Python  Deep Learning Step by Step with Python  takes you on a gentle, fun and unhurried journey to building your own deep neural network models in Python. Using plain English, it offers an intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available to the data scientist for deep neural networks using Python.    NO EXPERIENCE REQUIRED  This book is designed to be accessible - I’m assuming you never did like linear algebra, don’t want to see things derived, dislike complicated computer code, and you’re here because you want to see deep neural networks explained in plain English, and try them out for yourself. It is so straightforward and easy to follow even your ten year old nephew (who dislikes math) can understand it!    THIS BOOK IS FOR YOU IF YOU WANT:   Explanations rather than mathematical derivation Real world applications that make sense.  Illustrations to deepen your understanding.  Worked examples in Python you can easily follow and immediately implement.  Ideas you can actually use and try on your own data.    QUICK AND EASY:  Bestselling Data Scientist Dr. N.D Lewis shows you the shortcut up the steep steps to the very top. It's easier than you think. Through a simple to follow process you will learn how to build deep neural network models with Python. Once you have mastered the process, it will be easy for you to translate your knowledge into your own powerful data science applications.   YOU'LL LEARN HOW TO:  Unleash the power of Deep Neural Networks for effective forecasting.   Develop hands on solutions for binary classification.   Design successful applications for multi-class problems.   Master techniques for efficient model construction.  Fine tune deep networks to boost, accelerate, and transform predictive performance.    Build Deep Learning Models Faster!  Everything you need to get started is contained within this book.  Deep Learning Step by Step with Python  is your very own hands on practical, tactical, easy to follow guide to mastery    Buy this book today your next big breakthrough using deep neural networks is only a page away!
Paperback: 210 pages
Publisher: CreateSpace Independent Publishing Platform (July 26, 2016)
Language: English
ISBN-10: 1535410264
ISBN-13: 978-1535410267
Product Dimensions:  6 x 0.5 x 9 inches
Shipping Weight: 13.3 ounces (View shipping rates and policies)
Average Customer Review:  1.0 out of 5 stars  See all reviews (3 customer reviews)
Best Sellers Rank: #215,585 in Books (See Top 100 in Books)   #40 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Neural Networks
Way to simple. Virtually nothing to do with python. Not any better then a blog post.
a bit high price for 'DNNs are cool' slogan...
I downloaded the sample but it only shows the table of contents and a very puffy introduction. Expected to see mentions of RBM, autoencoder, LSTM, etc. but you won't find any of that in there. Appears to be a far-overreaching title for a possibly useful introductory work covering some basic ML/neural net concepts from an accessible programmer-oriented point of view. If that's your game then I highly recommend Rashid's "Make your own neural network" followed by Raschka's "Python machine learning" instead. Neither of those cover deep learning either, but at least they have honest titles.
Deep Learning Step by Step with Python: A Very Gentle Introduction to Deep Neural Networks for Practical Data Science Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano (Machine Learning in Python) Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python) Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow (Machine Learning in Python) Deep Learning: Natural Language Processing in Python with Recursive Neural Networks: Recursive Neural (Tensor) Networks in Theano (Deep Learning and Natural Language Processing Book 3) Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python) Deep Learning for Business with R: A Very Gentle Introduction to Business Analytics Using Deep Neural Networks Python: Python Programming Course: Learn the Crash Course to Learning the Basics of Python (Python Programming, Python Programming Course, Python Beginners Course) Deep Learning in Python Prerequisites: Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python) Deep Learning: Natural Language Processing in Python with GLoVe: From Word2Vec to GLoVe in Python and Theano (Deep Learning and Natural Language Processing) Deep Learning: Natural Language Processing in Python with Word2Vec: Word2Vec and Word Embeddings in Python and Theano (Deep Learning and Natural Language Processing Book 1) Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks (MIT Press) Deep Learning Made Easy with R: A Gentle Introduction for Data Science. Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business. Leveraging the Power of Data Analytics, Data ... (Hacking Freedom and Data Driven) (Volume 2) Data Analytics: What Every Business Must Know About Big Data And Data Science (Data Analytics for Business, Predictive Analysis, Big Data) My Very First Library: My Very First Book of Colors, My Very First Book of Shapes, My Very First Book of Numbers, My Very First Books of Words Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks Deep Learning Neural Networks: Design and Case Studies Principles of Neural Science, Fifth Edition (Principles of Neural Science (Kandel)) Python: Python Programming For Beginners - The Comprehensive Guide To Python Programming: Computer Programming, Computer Language, Computer Science 