The Regularization Cookbook

The Regularization Cookbook
Author :
Publisher : Packt Publishing Ltd
Total Pages : 424
Release :
ISBN-10 : 9781837639724
ISBN-13 : 1837639728
Rating : 4/5 (728 Downloads)

Book Synopsis The Regularization Cookbook by : Vincent Vandenbussche

Download or read book The Regularization Cookbook written by Vincent Vandenbussche and published by Packt Publishing Ltd. This book was released on 2023-07-31 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3 Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn to diagnose the need for regularization in any machine learning model Regularize different ML models using a variety of techniques and methods Enhance the functionality of your models using state of the art computer vision and NLP techniques Book Description Regularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate technique to every model is a must. The Regularization Cookbook provides you with the appropriate tools and methods to handle any case, with ready-to-use working codes as well as theoretical explanations. After an introduction to regularization and methods to diagnose when to use it, you'll start implementing regularization techniques on linear models, such as linear and logistic regression, and tree-based models, such as random forest and gradient boosting. You'll then be introduced to specific regularization methods based on data, high cardinality features, and imbalanced datasets. In the last five chapters, you'll discover regularization for deep learning models. After reviewing general methods that apply to any type of neural network, you'll dive into more NLP-specific methods for RNNs and transformers, as well as using BERT or GPT-3. By the end, you'll explore regularization for computer vision, covering CNN specifics, along with the use of generative models such as stable diffusion and Dall-E. By the end of this book, you'll be armed with different regularization techniques to apply to your ML and DL models. What you will learn Diagnose overfitting and the need for regularization Regularize common linear models such as logistic regression Understand regularizing tree-based models such as XGBoos Uncover the secrets of structured data to regularize ML models Explore general techniques to regularize deep learning models Discover specific regularization techniques for NLP problems using transformers Understand the regularization in computer vision models and CNN architectures Apply cutting-edge computer vision regularization with generative models Who this book is for This book is for data scientists, machine learning engineers, and machine learning enthusiasts, looking to get hands-on knowledge to improve the performances of their models. Basic knowledge of Python is a prerequisite.


The Regularization Cookbook Related Books

The Regularization Cookbook
Language: en
Pages: 424
Authors: Vincent Vandenbussche
Categories: Mathematics
Type: BOOK - Published: 2023-07-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3
Deep Learning
Language: en
Pages: 801
Authors: Ian Goodfellow
Categories: Computers
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res
Deep Learning Cookbook
Language: en
Pages: 255
Authors: Douwe Osinga
Categories: Computers
Type: BOOK - Published: 2018-06-05 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Ten
Time Series Analysis with Python Cookbook
Language: en
Pages: 630
Authors: Tarek A. Atwan
Categories: Computers
Type: BOOK - Published: 2022-06-30 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Perform time series analysis and forecasting confidently with this Python code bank and reference manual Key Features • Explore forecasting and anomaly detect
TensorFlow 1.x Deep Learning Cookbook
Language: en
Pages: 526
Authors: Antonio Gulli
Categories: Computers
Type: BOOK - Published: 2017-12-12 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book Skill up and implement tricky neural net