Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural NetworksКНИГИ » ПРОГРАММИНГ
Название: Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks Автор: Umberto Michelucci Издательство: Apress ISBN: 1484237897 Год: 2018 Страниц: 425 Язык: английский Формат: pdf (true), epub Размер: 30.0 MB
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function.
The next section talks about more complicated neural network architectures with several layers and neurons and explores the problem of random initialization of weights. An entire chapter is dedicated to a complete overview of neural network error analysis, giving examples of solving problems originating from variance, bias, overfitting, and datasets coming from different distributions.
Applied Deep Learning also discusses how to implement logistic regression completely from scratch without using any Python library except NumPy, to let you appreciate how libraries such as TensorFlow allow quick and efficient experiments. Case studies for each method are included to put into practice all theoretical information. You’ll discover tips and tricks for writing optimized Python code (for example vectorizing loops with NumPy).
What You Will Learn: Implement advanced techniques in the right way in Python and TensorFlow Debug and optimize advanced methods (such as dropout and regularization) Carry out error analysis (to realize if one has a bias problem, a variance problem, a data offset problem, and so on) Set up a machine learning project focused on deep learning on a complex dataset
Who This Book Is For: Readers with a medium understanding of machine learning, linear algebra, calculus, and basic Python programming.
Скачать Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
С этой публикацией часто скачивают:
Deep Learning with R (2019) Название: Deep Learning with R Автор: Abhijit Ghatak Издательство: Springer ISBN: 9811358494 Год: 2019 Страниц: 259 Язык: английский Формат: pdf...
Learning Deep Architectures for AI Название: Learning Deep Architectures for AI Автор: Yoshua Bengio Издательство: Now Год: 2010 Формат: pdf Страниц: 130 Размер: 1 mb. Язык: English ...
TensorFlow in 1 Day: Make your own Neural Network Название: TensorFlow in 1 Day: Make your own Neural Network Автор: Krishna Rungta Издательство: Independently published ISBN: 1720092257 Год: 2018 ...
Neural Networks and Deep Learning: A Textbook Название: Neural Networks and Deep Learning: A Textbook Автор: Charu C. Aggarwal Издательство: Springer Год: 2018 Страниц: 497 Формат: PDF, EPUB...