num_pages: 464
description: Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If youve been curious about machine learning but didnt know where to start this is the book youve 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 maththe book will cover the rest. After an introduction to Python youll 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. Youll also Youll conduct experiments along the way building to a final case study that incorporates everything youve 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.
language: English
title: Practical Deep Learning: A Python-Based Introduction
publisher: No Starch Press