Deep Learning with fastai Cookbook
Leverage the easy-to-use fastai framework to unlock the power of deep learning
Created by Mark Ryan
Explore how to use the fastai framework to build deep learning solutions for a range of data types, including tabular, text, recommender systems, and vision data. Learn to prepare data, train models, and deploy your solutions with practical, hands-on examples.
Packt | Sep 2021 | 340 min
What You Will Learn
You will start by exploring fastai's built-in tools for handling different data types. Step by step, you'll build and train models for each application area, working through practical examples. Finally, you'll learn how to deploy your models in web applications, making your solutions accessible and interactive.
Key Features
- Quickly build and train deep learning models for tabular, text, and image data
- Apply deep learning to real-world tasks like classification and recommendations
- Deploy trained models in web applications for practical, real-time use
Target Audience
Ideal for data scientists, machine learning developers, and deep learning enthusiasts with a working knowledge of Python and basic machine learning concepts. If you want to quickly apply deep learning to real-world problems using fastai, this course will guide you through practical projects and deployment.
