Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách gia công, Bìa mềm
Learn, understand, and implement deep neural
networks in a math- and programming-friendly approach using Keras and
Python. The book focuses on an end-to-end approach to developing
supervised learning algorithms in regression and classification with
practical business-centric use-cases implemented in Keras.
The
overall book comprises three sections with two chapters in each section.
The first section prepares you with all the necessary basics to get
started in deep learning. Chapter 1 introduces you to the world of deep
learning and its difference from machine learning, the choices of
frameworks for deep learning, and the Keras ecosystem. You will cover a
real-life business problem that can be solved by supervised learning
algorithms with deep neural networks. You’ll tackle one use case for
regression and another for classification leveraging popular Kaggle
datasets.
Later, you will see an interesting and challenging part of
deep learning: hyperparameter tuning; helping you further improve your
models when building robust deep learning applications. Finally, you’ll
further hone your skills in deep learning and cover areas of active
development and research in deep learning.
At the end of Learn Keras
for Deep Neural Networks, you will have a thorough understanding of
deep learning principles and have practical hands-on experience in
developing enterprise-grade deep learning solutions in Keras.
What You’ll Learn
• Master fast-paced practical deep learning concepts with math- and programming-friendly abstractions.
• Design, develop, train, validate, and deploy deep neural networks using the Keras framework
• Use best practices for debugging and validating deep learning models
• Deploy and integrate deep learning as a service into a larger software service or product
• Extend deep learning principles into other popular frameworks
Who This Book Is For
Software
engineers and data engineers with basic programming skills in any
language and who are keen on exploring deep learning for a career move
or an enterprise project.
Thể loại:Computers - Computer Science
Năm:2019
In lần thứ:1
Nhà xuát bản:Apress
Ngôn ngữ:english
Trang:182
