Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Image 1

£43.12

Packt Publishing Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

Name: Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
Brand: Packt Publishing
Price: 43.6 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 6 days • 6 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 6 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £44 (5 days, 83.3%)

Price range: £43 - £44

Price levels: 2 different prices over 6 days

Description

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in 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 Description With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications. What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.

Product Specifications

Brand: Packt Publishing
Format: paperback
ASIN: 1789348463
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 16 January 2019
Listed Since: 20 November 2018

Barcode

No barcode data available

Packt Publishing Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features

Deep Learning with Python: A Hands-on Introduction

Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python

Neural Networks and Deep Learning: A Textbook

Deep Learning and AI Superhero: Mastering TensorFlow, Keras, and PyTorch: Advanced Machine Learning and AI, Neural Networks, and Real-World Projects (Mastering the AI Revolution)

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications

Neural Networks and Deep Learning: A Textbook

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Deep Learning for Natural Language Processing: Creating Neural Networks with Python

Neural Networks and Deep Learning: A Textbook

Practical Deep Learning with Python: A Hands-On Introduction: A Python-Based Introduction

Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch

Principles and Labs for Deep Learning

Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

Manning Publications Deep Learning with Python - 2nd Edition

Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing

Practical Deep Learning for Computer Vision with Python