Deep Learning with fastai Cookbook
Deep Learning with fastai Cookbook helps you to quickly apply fastai to create deep learning applications. This recipe-based book teaches you how to use fastai for each of the four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data.
Offered by
Difficulty Level
Intermediate
Completion Time
11h20m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, machine learning developers, and deep learning enthusiasts looking to explore the fastai framework using a recipe-based approach. Working knowledge of the Python programming language and machine learning basics is strongly recommended to get the most out of this deep learning book.
Deep Learning with fastai Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h20m total length
Getting Started with fastai
Exploring and Cleaning Up Data with fastai
Training Models with Tabular Data
Training Models with Text Data
Training Recommender Systems
Training Models with Visual Data
Deployment and Model Maintenance
Extended fastai and Deployment Features
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