Keras 2.x Projects: 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
Language: English
Published by Packt Publishing, 2018
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
£ 44.65
Quantity: Over 20 available
Add to basketItem description from seller
Seller Inventory # ria9781789536645_new
- Title
- Keras 2.x Projects: 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
- Author
- Giuseppe Ciaburro
- Publisher
- Packt Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1789536642
- ISBN 13
- 9781789536645
Demonstrate fundamentals of Deep Learning and neural network methodologies using Keras 2.x
Key Features
- Experimental projects showcasing the implementation of high-performance deep learning models with Keras
- Use-cases across reinforcement learning, natural language processing, GANs and computer vision
- Build strong fundamentals of Keras in the area of deep learning and artificial intelligence
Book Description
Keras 2.x Projects explains how to leverage the power of Keras to build and train state-of-the-art deep learning models through a series of practical projects that look at a range of real-world application areas.
To begin with, you will quickly set up a deep learning environment by installing the Keras library. Through each of the projects, you will explore and learn the advanced concepts of deep learning and will learn how to compute and run your deep learning models using the advanced offerings of Keras. You will train fully-connected multilayer networks, convolutional neural networks, recurrent neural networks, autoencoders and generative adversarial networks using real-world training datasets. The projects you will undertake are all based on real-world scenarios of all complexity levels, covering topics such as language recognition, stock volatility, energy consumption prediction, faster object classification for self-driving vehicles, and more.
By the end of this book, you will be well versed with deep learning and its implementation with Keras. You will have all the knowledge you need to train your own deep learning models to solve different kinds of problems.
What you will learn
- Apply regression methods to your data and understand how the regression algorithm works
- Understand the basic concepts of classification methods and how to implement them in the Keras environment
- Import and organize data for neural network classification analysis
- Learn about the role of rectified linear units in the Keras network architecture
- Implement a recurrent neural network to classify the sentiment of sentences from movie reviews
- Set the embedding layer and the tensor sizes of a network
Who this book is for
If you are a data scientist, machine learning engineer, deep learning practitioner or an AI engineer who wants to build speedy intelligent applications with minimal lines of codes, then this book is the best fit for you. Sound knowledge of machine learning and basic familiarity with Keras library would be useful.
Table of Contents
- Getting Started with Keras
- Modeling Real Estate Using Regression Analysis
- Heart Disease Classification with Neural Networks
- Concrete Quality Prediction Using Deep Neural Networks
- Fashion Article Recognition Using Convolutional Neural Networks
- Movie Reviews Sentiment Analysis Using Recurrent Neural Networks
- Stock Volatility Forecasting Using Long Short-Term Memory
- Reconstruction of Handwritten Digit Images Using Autoencoders
- Robot Control System Using Deep Reinforcement Learning
- Reuters Newswire Topics Classifier in Keras
- What is Next?
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
Shipping rates from United Kingdom to U.S.A.
| Item | 6 to 12 business days | 6 to 12 business days |
|---|---|---|
| First item | £ 11.98 | £ 11.98 |
Payment methods
Store description
Specialty
Educational books, Textbooks, Fiction, Non- fictionSeller's business information
Ryefield Investments Limited
175 Pield Heath Road
Uxbridge, United Kingdom UB8 3NL
Terms of sale
All Returns and Refund are as per Abebooks policies.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to Ria Christie Collections, Uxbridge, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Orders usually ship within 2 business days. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required. Thank you!