Practical Deep Learning
A Python-Based Introduction

Price | $45.56 - $63.95
|
Rating | ![]() ![]() ![]() ![]() ![]() |
Author | Ronald T. Kneusel |
Publisher | No Starch Press |
Published | 2021 |
Pages | 464 |
Language | English |
Format | Paper book / ebook (PDF) |
ISBN-10 | 1718500742 |
ISBN-13 | 9781718500747 |
If you've been curious about 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 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 Neighbors, 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.
The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects.
Chapter 4:
→ https://itbook.store/files/9781718500747/chapter4.pdf
Source Code:
→ https://itbook.store/files/9781718500747/sourcecode.zip
- Ronald T. Kneusel
Similar Books
by Nihkil Ketkar
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Faceboo...
Price: $32.99 | Publisher: Apress | Release: 2020
Learn Keras for Deep Neural Networks
by Jojo John Moolayil
Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.The overall book comprises three ...
Price: $25.49 | Publisher: Apress | Release: 2019
by Hisham El-Amir, Mahmoud Hamdy
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic ...
Price: $30.46 | Publisher: Apress | Release: 2020
R Deep Learning Essentials, 2nd Edition
by Mark Hodnett, Joshua F. Wiley
Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.This bo...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Matthew Lamons, Rahul Kumar, Abhishek Nagaraja
Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping y...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
by Md. Rezaul Karim
Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts.Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several project...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition
by Rowel Atienza
Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual informa...
Price: $39.99 | Publisher: Packt Publishing | Release: 2020
Practical Computer Vision Applications Using Deep Learning with CNNs
by Ahmed Fawzy Gad
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will...
Price: $43.34 | Publisher: Apress | Release: 2018