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. 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;
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Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use;
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Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch;
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Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new;
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Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch Key Features Internals and principles of PyTorch;
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, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you;
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Get a head start in the world of AI and deep learning by developing your skills with PyTorch Key Features Learn how to define your own;
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Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases;
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Build neural network models in text, vision and advanced analytics using PyTorch Key Features Learn PyTorch for implementing cutting-edge;
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spend searching for answers. Research scientists, machine learning engineers, and software developers will find clear, structured PyTorch;
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Intermediate user level;...
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Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;
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Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;
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vision algorithms and their applications using PyTorch. The book begins with the fundamentals of computer vision: convolutional neural nets;
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Learn modern approaches to NLP and explore state-of-the-art NLP models using PyTorch Improve your NLP applications with innovative neural;
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how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a;
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Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes Key Features Use PyTorch 1.x to;
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effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python;
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and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly;
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learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;
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Mastering in Music is a cutting-edge edited collection that offers twenty perspectives on the contex;...
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Mastering in Music is a cutting-edge edited collection that offers twenty perspectives on the contex;...
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