Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
Take the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the second. In this practical book, you’ll get up to speed on key ideas using Facebook’s open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to …
“The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come.”—Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new …
Implement neural network architectures by building them from scratch for multiple real-world applications. Key Features From scratch, build multiple neural network architectures such as CNN, RNN, LSTM in Keras Discover tips and tricks for designing a robust neural network to solve real-world problems Graduate from understanding the working details of neural networks and master the art …
Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Key Features Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python Apply machine learning and deep learning techniques with TensorFlow, Keras, and PyTorch Discover the modern …
This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP …
Concepts, tools, and techniques to explore deep learning architectures and methodsKey FeaturesExplore advanced deep learning architectures using different datasets and frameworksImplement deep architectures for neural network models such as CNN, RNN, GAN, and many moreDiscover design patterns for various deep learning architecturesBook DescriptionDeep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions. This allows you …
Programming With Python – 8 Manuscripts in 1!!Deep Learning With KerasHere Is A Preview Of What You’ll Learn Here…The difference between deep learning and machine learningDeep neural networksConvolutional neural networksBuilding deep learning models with KerasMulti-layer perceptron network modelsAnd much more…Convolutional Neural Networks In PythonHere Is A Preview Of What You’ll Learn Here… Convolutional neural networks structure How convolutional …
Deep Learning from first principles: Second Edition: In vectorized Python, R and Octave
This is the second edition of the book. The code has been formatted with fixed with a fixed width font, and includes line numbering. This book derives and builds a multi-layer, multi-unit Deep Learning from the basics. The first chapter starts with the derivation and implementation of Logistic Regression as a Neural Network. This followed by building a …
Programming With Python – 8 BOOK BUNDLE!!Deep Learning With KerasHere Is A Preview Of What You’ll Learn Here…The difference between deep learning and machine learningDeep neural networksConvolutional neural networksBuilding deep learning models with KerasMulti-layer perceptron network modelsAnd much more…Convolutional Neural Networks In PythonHere Is A Preview Of What You’ll Learn Here… Convolutional neural networks structure How convolutional neural …
Exploring an advanced state of the art deep learning models and its applications using Popular python libraries like Keras, Tensorflow, and PytorchKey FeaturesA strong foundation on neural networks and deep learning with Python libraries.Explore advanced deep learning techniques and their applications across computer vision and NLP.Learn how a computer can navigate in complex environments with reinforcement learning.Book DescriptionWith …