Deep Learning for Beginners

Download or read book Deep Learning for Beginners written by François Duval and published by Createspace Independent Publishing Platform. This book was released on 2017-12-24 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: ***** Buy now (Will soon return to $35.99)***** ***** #1 Kindle Store Bestseller in Mathematical Analysis (Throughout 2017) ***** Free Kindle eBook for customers who purchase the print book Are you thinking of learning more about Deep Learning? If you are looking for a book to help you understand how the deep learning works by using Python and Tensorflow, then this is a good book for you. Several Visual Illustrations and Examples Equations are great for really understanding every last detail of an algorithm. But to get a basic idea of how things work, this book contains several graphs which detail each neural networks/deep learning algorithms. It is contains also several graphs for the practical examples. This Is a Practical Guide Book This book will help you explore exactly what deep learning is and will also teach you about why it is so revolutionary and fascinating. The chapters will introduce the reader to the concepts, techniques, and applications of deep learning algorithms with the practical case studies and walk-through examples on which to practice. This book takes a different approach that is based on providing simple examples of how deep learning algorithms work, and building on those examples step by step to encompass the more complicated parts of the algorithms. Python and TensorFlow Codes for the Examples Shown In the Book You will build your Deep Learning Model by using Python and Tensorflow There are many ways to build a deep learning model. However, it can also be overwhelming when you start, because there are so many tools to choose. In this book, we choose only these two tools: Tensorflow and Python. Target Users The book designed for a variety of target audiences. The most suitable users would include: Newbies in computer science techniques and deep learning Professionals in data science and social sciences Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way Students and academicians, especially those focusing on neural networks and deep learning What's inside this book? Overview in Deep Learning Quick Example to start Popular Open Source Library Pre-requisite for Deep Learning Deep Learning Presentation Deep Neural Networks Applications with Tensorflow and Python Autoencoders Algorithms Deep Learning for Computer Games Anomaly Detection Glossary of Some Useful Terms in Deep Learning Useful References Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: If you want to smash deep learning with Python, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you will be OK. If not, online programming courses cover more than what it is required. You can do one in a week, for free. Q: Can I loan this book to friends? A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days. Q: Does this book include everything I need to become a deep learning expert? A: Unfortunately, no. This book is designed for readers taking their first steps in deep learning and further learning will be required beyond this book to master all aspects of deep learning. Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at [email protected].