Deep Learning with fastai Cookbook PDF

Deep Learning with fastai Cookbook PDF

Name:
Deep Learning with fastai Cookbook PDF

Published Date:
09/24/2021

Status:
[ Active ]

Description:

Publisher:
PACKT - Packt Publishing, Inc.

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

SKU:

Choose Document Language:
$12
Need Help?
ISBN: 9781800208100

Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions with few lines of codeKey Features* Discover how to apply state-of-the-art deep learning techniques to real-world problems* Build and train neural networks using the power and flexibility of the fastai framework* Use deep learning to tackle problems such as image classification and text classificationBook Descriptionfastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems.The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai.By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models.What you will learn* Prepare real-world raw datasets to train fastai deep learning models* Train fastai deep learning models using text and tabular data* Create recommender systems with fastai* Find out how to assess whether fastai is a good fit for a given problem* Deploy fastai deep learning models in web applications* Train fastai deep learning models for image classificationWho this book is forThis 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.

Author: Mark Ryan


Edition : 21
File Size : 1 file , 30 MB
Number of Pages : 340
Published : 09/24/2021
isbn : 9781800208100

History


Related products

Test Automation Engineering Handbook
Published Date: 01/13/2023
$10.2
Learning Apache Cassandra
Published Date: 04/25/2017
$12
Hands-On Design Patterns with Swift
Published Date: 12/24/2018
$12

Best-Selling Products

NEMA/MITA CSP 2-2021
Published Date: 2021
Lifecycle Best Practices Framework for Medical Imaging Devices
$14.7
NEMA/MITA DD P1-2019
Published Date: 08/01/2019
White Paper on Understanding the Limited Usefulness of Detector Dose Measurements in Modern Medical X-ray Imaging Equipment
$24.6
NEMA/MITA RMD P1-2019
Published Date: 01/30/2019
White Paper on Considerations for Remanufacturing of Medical Imaging Devices
$14.7
NEMA/MITA RSSTCD 1-2019
Published Date: 2019
White Paper on Radiation Safety Specification and Testing Comparison Document for Medical X-Ray Imaging Devices General Radiography and Fluoroscopy, and Interventional Fluoroscopy
$28.8
NEMA/MITA RSSTCD 2-2020
Published Date: 2020
White Paper on 21 CFR Subchapter J to IEC Comparison Table for Medical X-Ray Imaging Devices Mammography
$30
NEMA/MITA SAC 1-2020
Published Date: 2020
White Paper on Understanding Accountability in Medical Device Servicing
$14.7