Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

Buy

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts you'll need to know when building deep learning systems
  • Full of step-by-step exercises and activities to help build the skills that you need for the real-world

Book Description

Taking an approach that uses the latest developments in the Python ecosystem, you'll first be guided through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before we train our first predictive model. We'll explore a variety of approaches to classification like support vector networks, random decision forests and k-nearest neighbours to build out your understanding before we move into more complex territory. It's okay if these terms seem overwhelming; we'll show you how to put them to work.

We'll build upon our classification coverage by taking a quick look at ethical web scraping and interactive visualizations to help you professionally gather and present your analysis. It's after this that we start building out our keystone deep learning application, one that aims to predict the future price of Bitcoin based on historical public data.

By guiding you through a trained neural network, we'll explore common deep learning network architectures (convolutional, recurrent, generative adversarial) and branch out into deep reinforcement learning before we dive into model optimization and evaluation. We'll do all of this whilst working on a production-ready web application that combines Tensorflow and Keras to produce a meaningful user-friendly result, leaving you with all the skills you need to tackle and develop your own real-world deep learning projects confidently and effectively.

What you will learn

  • Discover how you can assemble and clean your very own datasets
  • Develop a tailored machine learning classification strategy
  • Build, train and enhance your own models to solve unique problems
  • Work with production-ready frameworks like Tensorflow and Keras
  • Explain how neural networks operate in clear and simple terms
  • Understand how to deploy your predictions to the web

Who this book is for

If you're a Python programmer stepping into the world of data science, this is the ideal way to get started.

Table of Contents

  1. Jupyter Fundamentals
  2. Data Cleaning and Advanced Machine Learning
  3. Web Scraping and Interactive Visualizations
  4. Introduction to Neural Networks and Deep Learning
  5. Model Architecture
  6. Model Evaluation
  7. Productization
(HTML tags aren't allowed.)

Group Policy, Profiles, and IntelliMirror for Windows 2003, Windows XP, and Windows 2000
Group Policy, Profiles, and IntelliMirror for Windows 2003, Windows XP, and Windows 2000
For Windows 2003 SP1, Windows XP SP2, and Windows 2000

This fully updated third edition of Group Policy, Profiles, and IntelliMirror provides all the instruction and insight you need to take full advantage of your Active Directory with GPMC and other Group Policy tools. You'll also learn techniques for implementing...

Daring Missions of World War II
Daring Missions of World War II

Few World War II stories are more gripping than those fought behind enemy lines by spies, underground members, and special forces.

In his latest collection, Daring Missions of World War II, popular author and distinguished historian William Breuer brings to light largely unknown stories of behind-the-scenes bravery and covert...

Microsoft Sql Server 2012 Master Data Services 2/E
Microsoft Sql Server 2012 Master Data Services 2/E

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Deploy and Maintain an Integrated MDS Architecture

Harness your master data and grow revenue while reducing...


Food Safety Management: A Practical Guide for the Food Industry
Food Safety Management: A Practical Guide for the Food Industry

Food Safety Management: A Practical Guide for the Food Industry with an Honorable Mention for Single Volume Reference/Science in the 2015 PROSE Awards from the Association of American Publishers is the first book to present an integrated, practical approach to the management of food safety throughout the production chain. While many...

Android Phones For Dummies (For Dummies (Lifestyle))
Android Phones For Dummies (For Dummies (Lifestyle))

Your full-color guide to putting your Android to work for you

Your smartphone is essentially your lifeline—so it's no wonder you chose a simple-to-use, fun-to-customize, and easy-to-operate Android. Cutting through intimidating jargon and covering all the features you need to know about your Android phone, this...

Mathematical Models of Spoken Language
Mathematical Models of Spoken Language
Humans use language to convey meaningful messages to each other. Linguistic competence consists in the ability to express meaning reliably, not simply to obtain faithful lexical transcriptions. This invaluable reference tool is the product of many years' experience and research on language and speech technology. It presents the motivations for,...
©2021 LearnIT (support@pdfchm.net) - Privacy Policy