Título: Fundamentals of Deep Learning
Autor: Nikhil Buduma, Nicholas Locascio
Sinopse: 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 networksLearn how to train feed-forward neural networksUse TensorFlow to implement your first neural networkManage problems that arise as you begin to make networks deeperBuild neural networks that analyze complex imagesPerform effective dimensionality reduction using autoencodersDive deep into sequence analysis to examine languageUnderstand the fundamentals of reinforcement learning
Contexto da obra
Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “Fundamentals of Deep Learning”, de Nikhil Buduma, Nicholas Locascio, publicado pela editora Vídeos 0 Grupos 0 Resenhas 0 Leitores 4 Similares 0 Fundamentals of Deep Learning Nikhil Buduma, Nicholas Locascio, em 2017 e com 304 páginas, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.
Páginas: 304
Ano: 2017
Edição: 1
Linguagem: pt_BR
ISBN: 9781491925614
ISBN13: 9781491925614