Автор: Ravichandiran Sudharsan Название: Hands-On Deep Learning Algorithms with Python ISBN: 1789344158 ISBN-13(EAN): 9781789344158 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.
Автор: Ravichandiran, Sudharsan Название: Hands-on reinforcement learning with python - ISBN: 1839210680 ISBN-13(EAN): 9781839210686 Издательство: Неизвестно Рейтинг: Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Deep Reinforcement Learning with Python - Second Edition will help you learn reinforcement learning algorithms, techniques and architectures - including deep reinforcement learning - from scratch. This new edition is an extensive update of the original, reflecting the state-of-the-art latest thinking in reinforcement learning.
Описание: Getting Started with Google BERT will help you become well-versed with the BERT model from scratch and learn how to create interesting NLP applications. You`ll understand several variants of BERT such as ALBERT, RoBERTa, DistilBERT, ELECTRA, VideoBERT, and many others in detail.
Автор: Saito Sean, Wenzhuo Yang, Shanmugamani Rajalingappaa Название: Python Reinforcement Learning Projects ISBN: 1788991613 ISBN-13(EAN): 9781788991612 Издательство: Неизвестно Рейтинг: Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Python Reinforcement Learning Projects brings various aspects and methodologies of RL using 8 real-world projects that explore RL and will have hands-on experience with real data and artificial intelligence problems. You will learn to build self-learning models using sophisticated techniques like Q-learning, Markov models and Monte-Carlo process.
Автор: Bonaccorso Giuseppe, Fandango Armando, Shanmugamani Rajalingappaa Название: Python: Advanced Guide to Artificial Intelligence ISBN: 1789957214 ISBN-13(EAN): 9781789957211 Издательство: Неизвестно Цена: 9194.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You`ll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to ...
Автор: Shanmugamani Rajalingappaa Название: Deep Learning for Computer Vision ISBN: 1788295625 ISBN-13(EAN): 9781788295628 Издательство: Неизвестно Цена: 8091.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision, the science of manipulating and processing images. In this book, you will learn different techniques in deep learning to accomplish tasks related to object classification, object detection, image segmentation, captioning, ...
Автор: Ravichandiran, Sudharsan Название: Hands-on meta learning with python ISBN: 1789534208 ISBN-13(EAN): 9781789534207 Издательство: Неизвестно Рейтинг: Цена: 8091.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of "learning to learn", the book will help you implement your meta learning algorithms from scratch.
Автор: Ravichandiran Sudharsan Название: Hands-On Reinforcement Learning with Python ISBN: 1788836529 ISBN-13(EAN): 9781788836524 Издательство: Неизвестно Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.
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