Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition
Language: English
Published by Packt Publishing, 2020
- Hardcover
- Used
Seller: tLighthouse Books, Onekama, MI, U.S.A.tLighthouse Books
AbeBooks seller since November 21, 2023
Condition: Used - Good
£ 33.30
Quantity: 1 available
Add to basketItem description from seller
Seller Inventory # HSV.1800568274.G
- Title
- Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition
- Author
- Atienza, Rowel
- Publisher
- Packt Publishing
- Publication year
- 2020
- Condition
- good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1800568274
- ISBN 13
- 9781800568273
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras
Key Features
- Explore the most advanced deep learning techniques that drive modern AI results
- New coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentation
- Completely updated for TensorFlow 2.x
Book Description
Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects.
Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques.
Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance.
Next, you'll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.
What you will learn
- Use mutual information maximization techniques to perform unsupervised learning
- Use segmentation to identify the pixel-wise class of each object in an image
- Identify both the bounding box and class of objects in an image using object detection
- Learn the building blocks for advanced techniques - MLPss, CNN, and RNNs
- Understand deep neural networks - including ResNet and DenseNet
- Understand and build autoregressive models - autoencoders, VAEs, and GANs
- Discover and implement deep reinforcement learning methods
Who this book is for
This is not an introductory book, so fluency with Python is required. The reader should also be familiar with some machine learning approaches, and practical experience with DL will also be helpful. Knowledge of Keras or TensorFlow 2.0 is not required but is recommended.
Table of Contents
- Introducing Advanced Deep Learning with Keras
- Deep Neural Networks
- Autoencoders
- Generative Adversarial Networks (GANs)
- Improved GANs
- Disentangled Representation GANs
- Cross-Domain GANs
- Variational Autoencoders (VAEs)
- Deep Reinforcement Learning
- Policy Gradient Methods
- Object Detection
- Semantic Segmentation
- Unsupervised Learning Using Mutual Information
"Synopsis" may belong to another edition of this title.
tLighthouse Books
Onekama, MI, U.S.A.
AbeBooks seller since November 21, 2023
Shipping rates within U.S.A.
| Item | 5 to 8 business days | 1 to 5 business days |
|---|---|---|
| First item | £ 5.90 | £ 17.73 |
Payment methods
Store description
Specialty
Literature, Fiction, Non-fiction, Poetry, History, Biography, Signed Books, etcTerms of sale
We guarantee the condition of every book as it's described on the Abebooks web sites. If you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the order hasn't arrived, you're eligible for a refund within 30 days of the estimated delivery date. If you've changed your mind about a book that you've ordered, please use the Ask bookseller a question link to contact us and we'll respond within 2 business days.
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 tLighthouse Books, Manistee, Michigan, U.S.A., 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.