Výsledky vyhledávání - "Deep Learning with Python"

About the Technical Reviewers Autor Moolayil, Jojo, Ketkar, Nikhil

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Intro Autor Moolayil, Jojo, Ketkar, Nikhil

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Introduction Autor Moolayil, Jojo, Ketkar, Nikhil

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About the Authors Autor Moolayil, Jojo, Ketkar, Nikhil

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Machine Learning Fundamentals Autor Ketkar, Nikhil

“…Deep Learning is a branch of Machine Learning and in this chapter we will cover the fundamentals of Machine Learning. While machine learning as a subject is…”
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Training Deep Learning Models Autor Ketkar, Nikhil

“…Throughout the book we have covered the theoretical aspects of models and introduced the reader to a number of frameworks for deep learning. In this chapter we…”
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Introduction to Theano Autor Ketkar, Nikhil

“…In this chapter we introduce the reader to Theano, which is a Python library for defining mathematical functions (operating over vectors and matrices), and…”
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Introduction to Deep Learning Autor Ketkar, Nikhil

“…This chapter provides a broad overview and an historical context on the subject of deep learning. It also gives the reader a roadmap for navigating the book,…”
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Recurrent Neural Networks Autor Ketkar, Nikhil

“…Recurrent Neural Networks (RNNs) in essence are neural networks that employ recurrence, which is basically using information from a previous forward pass over…”
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Introduction to Keras Autor Ketkar, Nikhil

“…This chapter introduces the reader to Keras, which is a library that provides highly powerful and abstract building blocks to build deep learning networks…”
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Introduction to PyTorch Autor Ketkar, Nikhil

“…In this chapter, we will cover PyTorch which is a more recent addition to the ecosystem of the deep learning framework. PyTorch can be seen as a Python front…”
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Convolutional Neural Networks Autor Ketkar, Nikhil

“…Convolution Neural Networks (CNNs) in essence are neural networks that employ the convolution operation (instead of a fully connected layer) as one of its…”
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Introduction to Tensorflow Autor Ketkar, Nikhil

“…In this chapter we will cover Tensorflow which allows users to define mathematical functions via computational graphs and to compute their gradients…”
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Introduction to GPUs Autor Ketkar, Nikhil

“…This chapter introduces the reader to GPU (Graphics Processing Unit)-based computation, which has played and will continue to play a big role in the successful…”
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Stochastic Gradient Descent Autor Ketkar, Nikhil

“…This chapter gives a broad overview and a historical context around the subject of deep learning. It also gives the reader a roadmap for navigating the book,…”
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Regularization Techniques Autor Ketkar, Nikhil

“…In this chapter we will cover three regularization techniques commonly used in deep learning, namely, early stopping, norm penalties, and dropout. The reader…”
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Automatic Differentiation Autor Ketkar, Nikhil

“…In the chapter on Stochastic Gradient Descent, we treated the computation of gradients of the loss function as a black box…”
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Feed Forward Neural Networks Autor Ketkar, Nikhil

“…In this chapter we will cover some key concepts around feedforward neural networks…”
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Feed-Forward Neural Networks Autor Moolayil, Jojo, Ketkar, Nikhil

“…Feed-forward neural networks were the earliest implementations within deep learning. These networks are called feed-forward because the information within them…”
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Recent Advances in Deep Learning Autor Moolayil, Jojo, Ketkar, Nikhil

“…So far, this book has discussed important topics in the realm of deep learning: feed-forward networks, convolutional neural networks, and recurrent neural…”
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