Deep Learning by John D. Kelleher

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  • Deep Learning
  • John D. Kelleher
  • Page: 296
  • Format: pdf, ePub, mobi, fb2
  • ISBN: 9780262537551
  • Publisher: MIT Press

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Free download audio books in english Deep Learning

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.

A Selective Overview of Deep Learning
In simple words, deep learning uses the composition of many nonlinear While neural networks have a long history, recent advances have  Deep Learning
Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its  The Science of Deep Learning - National Academy of Sciences
The Science of Deep Learning. March 13 - 14, 2019. National Academy of Sciences, Washington, D.C.. Organized by: David Donoho, Maithra Raghu, Ali Rahimi  Deep Learning and Artificial Intelligence Solutions | NVIDIA
The world of computing is experiencing an incredible change with the introduction of deep learning and AI. Deep learning relies on GPU acceleration, both for  Deep Learning (Neural Networks) — H2O 3.26.0.2 documentation
H2O's Deep Learning is based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using back-propagation. The 10 Deep Learning Methods AI Practitioners Need to Apply
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall  From 2016: Why Deep Learning Is Suddenly Changing Your Life
They've all been made possible by a family of artificial intelligence (AI) techniques popularly known as deep learning, though most scientists  TensorFlow in Practice - deeplearning.ai
This Specialization will help you learn TensorFlow, a popular open-source framework for machine learning. Master this powerful tool for deep learning. Deep Learning Definition | DeepAI
Deep learning is a machine learning method using multiple layers of nonlinear processing units to extract features from data. Find out more on DeepAI. MATLAB for Deep Learning - MATLAB & Simulink - MathWorks
With just a few lines of MATLAB® code, you can build deep learning models without having to be an expert. Explore how MATLAB can help you perform deep  



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