Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Buy

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Key Features

  • Build deep learning models with transfer learning principles in Python
  • implement transfer learning to solve real-world research problems
  • Perform complex operations such as image captioning neural style transfer

Book Description

Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems.

The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples.

The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP).

By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems.

What you will learn

  • Set up your own DL environment with graphics processing unit (GPU) and Cloud support
  • Delve into transfer learning principles with ML and DL models
  • Explore various DL architectures, including CNN, LSTM, and capsule networks
  • Learn about data and network representation and loss functions
  • Get to grips with models and strategies in transfer learning
  • Walk through potential challenges in building complex transfer learning models from scratch
  • Explore real-world research problems related to computer vision and audio analysis
  • Understand how transfer learning can be leveraged in NLP

Who this book is for

Hands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.

Table of Contents

  1. Machine Learning Fundamentals
  2. Deep Learning Essentials
  3. Understanding Deep Learning Architectures
  4. Transfer Learning Fundamentals
  5. Unleash the Power of Transfer Learning
  6. Image Recognition and Classification
  7. Text Document Categorization
  8. Audio Identification and Categorization
  9. Deep Dream
  10. Neural Style Transfer
  11. Automated Image Caption Generator
  12. Image Colorization
(HTML tags aren't allowed.)

Future Energy: Improved, Sustainable and Clean Options for our Planet
Future Energy: Improved, Sustainable and Clean Options for our Planet
Increasing global energy demand requires fact-based evaluations of alternative energy sources. This includes solving questions like how energy is produced, provided, and transported in sustainable ways. Solving future energy demands requires new technologies and knowledge. Decision makers, professionals, and people interested in energy issues in...
Microsoft Dynamics CRM 4.0 Unleashed
Microsoft Dynamics CRM 4.0 Unleashed
Microsoft® Dynamics CRM 4.0 Unleashed presents start-to-finish guidance for planning, customizing, deploying, integrating, and managing Dynamics CRM in your unique business and technical environment. Authored by two leading Microsoft Dynamics implementers, this book systematically explains how the system...
Elementary Statistics Using JMP
Elementary Statistics Using JMP
Learn how to perform basic statistical analyses using the powerful JMP software. This reader-friendly guide bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues...

Design Thinking Business Analysis: Business Concept Mapping Applied (Management for Professionals)
Design Thinking Business Analysis: Business Concept Mapping Applied (Management for Professionals)

​This book undertakes to marry the concepts of "Concept Mapping" with a "Design Thinking" approach in the context of business analysis. While in the past a lot of attention has been paid to the business process side, this book now focusses information quality and valuation, master data and hierarchy management,...

Social Media Marketing All-in-One For Dummies
Social Media Marketing All-in-One For Dummies

Everything your business needs for a successful social media campaign

Facebook, LinkedIn, and Twitter are today's hottest marketing tools. This all-in-one guide by an expert on social media strategy helps you take full advantage of them in creative new ways.

Lena West is a consultant who helps her clients...

Microsoft IIS 7 Implementation and Administration (Mastering)
Microsoft IIS 7 Implementation and Administration (Mastering)
Make the move to IIS 7 with this practical guide

Microsoft's IIS 7 is a radical departure from previous versions of IIS, and it promises administrators a new level of control over their Web servers, with its modular design and a flexible, extensible architecture that creates new opportunities for customization. This book...

©2021 LearnIT (support@pdfchm.net) - Privacy Policy