Pytorch Deep Learning Introduction (12 results)

Condition: New. In.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2025-04 Pages: 248 Publisher: Tsinghua University Press This book introduces how to learn and use the popular PyTorch framework to develop deep learning applications. Main contents include computation graphs in PyTorch. fitting functions with third-order polynomials. implementing handwritten digit recognition. neural network basics. convolutional neural networks. PyTorch fundamentals. transformer architecture. text classification application development. .

paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:448 Publisher:China Water Resources and Hydropower Press Machine Learning Deep Learning Image Recognition from Basics to Case Practice introduces the field of artificial intelligence with a large number of graphics and images combined with Python code Knowledge about image recognition. The book consists of 3 parts. of which the first part introduces the basic knowledge and the use of related tools such as Python. Jupyter Nobebook and NumPy.

paperback. Condition: New. Paperback. Pub Date: 2022-07-01 Pages: 344 Language: Chinese Publisher: Electronic Industry Press Readers complete several classic and interesting practical projects from scratch. including anime avatar generation. style transfer. automatic poetry writing. and object detection. The book also introduces several advanced extensions to PyTorch. including vectorized computing. distributed acceleration. and CUDA extensions. This book is suitable not only for beginners in deep learning and research.

paperback. Condition: New. Paperback. Pub Date: 2022-07-01 Pages: 344 Language: Chinese Publisher: Electronic Industry Press Readers complete several classic and interesting practical projects from scratch. including anime avatar generation. style transfer. automatic poetry writing. and object detection. The book also introduces several advanced extensions to PyTorch. including vectorized computing. distributed acceleration. and CUDA extensions. This book is suitable not only for beginners in deep learning and research.

paperback. Condition: New. Paperback. Pub Date: 2019-12-01 Pages: 244 Language: Chinese Publisher: Tsinghua University Press Introduction to Deep Learning: Theory and Implementation Based on PyTorch and TensorFlow/Artificial Intelligence and Big Data Series is a system introduction to deep learning An introductory book of basic knowledge and theoretical principles.?Introduction to Deep Learning: Theory and Implementation Based on PyTorch and TensorFlow/Artificial Intelligence and Big Data Series starts with the basic s.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-11-01 Pages: 308 Publisher: China Water Conservancy and Hydropower Publishing House PyTorch Deep Learning Target Detection starts with the development history of the artificial intelligence industry and the image world in the eyes of machines. and gradually guides readers Enter the image processing of machine learning; then explain the main algorithm for object detection in deep learning. and the neural network built on the basis of the PyTorch frame.

paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:448 Publisher:China Water Resources and Hydropower Press Machine Learning Deep Learning Image Recognition from Basics to Case Practice introduces the field of artificial intelligence with a large number of graphics and images combined with Python code Knowledge about image recognition. The book consists of 3 parts. of which the first part introduces the basic knowledge and the use of related tools such as Python. Jupyter Nobebook and NumPy.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2018-01-01 Pages: 300 Publisher: electronic industry press deep learning framework PyTorch: introduction and practice of starting from the multi-dimensional array Tensor. step by step to lead the reader to understand PyTorch fundamental knowledge of various aspects.Combining with the basic knowledge and frontier research. takes the reader from scratch to finish a few classic fun.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-09-01 Pages: 216 Publisher: China Railway Publishing House The introduction book introduces various practical applications of PyTorch in detail in the form of cases.?The specific content includes the comparison of PyTorch and TensorFlow and the development status of PyTorch. tensor Tensor and automatic differentiation Autograd and their specific applications. PyTorch building neural networks. PyTorch building complex applications. PyTorch advanced sk.

paperback. Condition: New. Paperback. Pub Date: 2017-09-01 Pages: 232 Language: Chinese Publisher: electronic industry press deep learning now has become a hot technology. science and technology * in this book. we will help you introduction to deep learning areas.This book will start from the introduction of artificial intelligence. machine learning and deep learning theory. the basis of the study and.

paperback. Condition: New. Paperback.Pub Date:2020-07-01 Pages:326 Publisher: China Water Conservancy and Hydropower Press PyTorch Deep Learning Introduction and Practical Combat (case video) is based on PyTorch's introductory and practical deep learning. combined with actual deep learning cases . Introduce PyTorch's related applications in computer vision and natural language processing from the shallower to the deeper.?This book is a step-by-step content. It first introduces a series of ways to use PyTorch. then comb.