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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

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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
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Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We...

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...

Learn Python Visually
Learn Python Visually

Learn Python Visually is a modern breakthrough that makes learning programming more intuitive, easier, and fun. Using the most basic approach to learning that we all inherently know from childhood, "Learn Python VISUALLY" solves the comprehension problem that so many other books cannot seem to bridge. Visual learners retain...

Python Playground: Geeky Projects for the Curious Programmer
Python Playground: Geeky Projects for the Curious Programmer

Python is a powerful programming language that’s easy to learn and fun to play with. But once you’ve gotten a handle on the basics, what do you do next?

Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of
...

Python for Secret Agents - Second Edition
Python for Secret Agents - Second Edition

Gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agents

About This Book

  • Discover the essential features of Python programming: statements, variables, expressions, and many of the built-in data types
  • Use Python's standard...
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