Practical Deep Learning, 2nd Edition: A Python-Based Introduction - Image 1

£39.35

No Starch Press Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Name: Practical Deep Learning, 2nd Edition: A Python-Based Introduction
Brand: No Starch Press
Price: 41.07 GBP
Availability: InStock

Multicolor

AI & Machine Learning

Price History & Forecast

Last 52 days • 52 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 52 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £39 (23 days, 44.2%)

Price range: £38 - £41

Price levels: 4 different prices over 52 days

Description

If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for USing existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance. You'll also learn: How to USe classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they're trained, How to USe convolutional neural networks, How to develop a successful deep learning model from scratch. You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.

Product Specifications

Brand: No Starch Press
Colour: Multicolor
Format: paperback
ASIN: 1718504209
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 08 July 2025
Listed Since: 17 October 2024

Barcode

No barcode data available

No Starch Press Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

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

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

Neural Networks and Deep Learning: A Textbook

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)

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

Machine Learning: An Algorithmic Perspective, Second Edition

Neural Networks and Deep Learning: A Textbook

Deep Learning with Python: A Hands-on Introduction

Deep Learning: A Practical Introduction

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

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

Deep Learning Models: A Practical Approach for Hands-On Professionals (Transactions on Computer Systems and Networks)

Deep Learning: A Visual Approach

Practical Deep Learning for Computer Vision with Python

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

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

Principles and Labs for Deep Learning

Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

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: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI