Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Buy

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started.

  • Examine the foundations of machine learning and neural networks
  • Learn how to train feed-forward neural networks
  • Use TensorFlow to implement your first neural network
  • Manage problems that arise as you begin to make networks deeper
  • Build neural networks that analyze complex images
  • Perform effective dimensionality reduction using autoencoders
  • Dive deep into sequence analysis to examine language
  • Understand the fundamentals of reinforcement learning
(HTML tags aren't allowed.)

100 Weekend Projects Anyone Can Do: Easy, practical projects using basic tools and standard materials
100 Weekend Projects Anyone Can Do: Easy, practical projects using basic tools and standard materials

100 do-it-yourself simple projects, requiring only basic tools, precut lumber and standard materials.

Build fashionable, functional, inexpensive indoor and backyard furniture—even if you're a complete beginner. These are realistic projects for the average weekend warrior that require no great skills, just normal
...

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)
Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise...

Understanding Stocks
Understanding Stocks

The First Book for People Who Want to Make Serious Money In the Stock Market Without Becoming an Expert

History has proven that the surest road to long-term wealth is through investing in the stock market. And while you don't have to be a financial genius to invest well, you do have to care enough about your money to...


Great Jobs for Computer Science Majors 2nd Ed.
Great Jobs for Computer Science Majors 2nd Ed.

What can I do with a degree in computer science?

The first step toward the rest of your life starts with that question, and the answer is right here. Get on the right path now for a satisfying and rewarding career in computers by learning to match your skills and interests with exciting employment opportunities....

Modal Logic: An Introduction to its Syntax and Semantics
Modal Logic: An Introduction to its Syntax and Semantics
In this text, a variety of modal logics at the sentential, first-order, and second-order levels are developed with clarity, precision and philosophical insight. All of the S1-S5 modal logics of Lewis and Langford, among others, are constructed. A matrix, or many-valued semantics, for sentential modal logic is formalized, and an important result...
Modeling for Insight: A Master Class for Business Analysts
Modeling for Insight: A Master Class for Business Analysts
Praise for Modeling for Insight

"Most books on modeling are either too theoretical or too focused on the mechanics of programming. Powell and Batt's emphasis on using simple spreadsheet models to gain business insight (which is, after all, the name of the game) is what makes this book stand head and shoulders...

©2018 LearnIT (support@pdfchm.net) - Privacy Policy