Started Deep Learning (28 results)

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Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback or Softback. Condition: New. Getting Started with Chatbots: learn and create your own chatbot with deep understanding of Artificial Intelligence and Machine Learning. Book.

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Soft cover. Condition: New. Natural language processing (NLP) is one of the areas where many Machine Learning and Deep Learning techniques are applied. This book covers wide areas, including the fundamentals of Machine Learning, Understanding and optimizing Hyperparameters, Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN). This book not only covers the classical concept of text processing but also shares the recent advancements. This book will empower users in designing networks with the least computational and time complexity. This book not only covers basics of Natural Language Processing but also helps in deciphering the logic behind advanced concepts/architecture such as Batch Normalization, Position Embedding, DenseNet, Attention Mechanism, Highway Networks, Transformer models and Siamese Networks. This book also covers recent advancements such as ELMo-BiLM, SkipThought, and Bert. This book also covers practical implementation with step by step explanation of deep learning techniques in Topic Modelling, Text Generation, Named Entity Recognition, Text Summarization, and Language Translation. In addition to this, very advanced and open to research topics such as Generative Adversarial Network and Speech Processing are also covered.…

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Paperback. Condition: Brand New. 220 pages. 9.25x7.00x0.75 inches. In Stock.

Taschenbuch. Condition: Neu. Neuware - Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep-learning problems for classifying and generating text, images, and music.Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you're stuck. Examples are written in Python with code available on GitHub as a set of Python not Elektronisches Buch.You'll learn how to:- Create applications that will serve real users- Use word embeddings to calculate text similarity- Build a movie recommender system based on Wikipedia links- Learn how AIs see the world by visualizing their internal state- Build a model to suggest emojis for pieces of text- Reuse pretrained networks to build an inverse image search service- Compare how GANs, autoencoders and LSTMs generate icons- Detect music styles and index song collections.…

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-04-01 Pages: 264 Publisher: Machinery Press. this book begins to explain the principles and applications of deep learning from basic knowledge. including the development of the field. the introduction of deep learning. the theory of depth learning model Optimization in the code and practical applications. This book is 12 chapters. main contents include deep learning foundations. deep learning environment .…

paperback. Condition: New. Paperback. Pub Date: 2020-11-01 Publisher: Machinery Industry Press Deep learning is an active field in machine learning research. The purpose of Introduction to Deep Learning is to provide an easy-to-understand book for beginners of deep machine learning. Learning materials with comprehensive content and in-depth theory.?The content of this book can be roughly divided into four parts: machine learning foundation. sequential propagation neural network deep learning. Boltzmann machine and deep.…

paperback. Condition: New. Paperback. Pub Date: 2021-02-01 Pages: 192 Language: Chinese Publisher: Peoples Posts and Telecommunications Press Understand neural networks at the application level.?Readers can follow this book to build and train neural network models to solve practical problems.?In addition. this book focuses on introducing convolutional neural networks and recurrent neural networks. and provides the use of the PyTorch open source neural network library. which is helpful for learning to build more advance.…

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Condition: New. This technical guide, published by Gijutsu Hyoronsha, introduces readers to the fundamentals of image recognition using deep learning, with a practical focus on the OpenCV library. It is designed for those looking to develop skills in applying cutting-edge deep learning techniques to image processing tasks, making complex concepts accessible for beginners. Readers will learn how to implement various image recognition algorithms and build practical applications using OpenCV. Note: The text is entirely in Japanese. Brand New Japanese Edition. Ships worldwide from Japan via Japan Post. Expedited shipping via FedEx available.…

Paperback. Condition: Brand New. 132 pages. 9.25x7.50x0.30 inches. This item is printed on demand.

Paperback. Condition: Brand New. 220 pages. 9.25x7.00x0.75 inches. In Stock. This item is printed on demand.