Book Name: Deep Learning Essentials
Author: Anurag Bhardwaj, Wei Di, Jianing Wei
Publisher: Packt Publishing
ISBN-10: 1785880365
Year: 2018
Pages: 284
Language: English
File size: 20.40 MB
File format: PDF
This publication can allow you to take your first steps in training effective profound learning models and implementing them at various practical situations. You may simulate, train, and set up various sorts of neural networks like Convolutional Neural Network, Recurrent Neural Network, and will observe a few of their programs in real-world domain such as computer vision, natural language processing, speech recognition, etc.
You may build functional projects for example chatbots, employ reinforcement learning how to develop wise matches, and build expert systems for picture captioning and processing. Popular Python library for example TensorFlow is employed in this publication to construct the models. This publication also covers alternatives for various issues you might encounter while training versions, for example noisy datasets, small datasets, and much more.
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