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Umberto Michelucci Advanced Applied Deep Learning (Paperback) (UK IMPORT)
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Located in: GU14 0GT, United Kingdom
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eBay item number:116082791738
Item specifics
- Condition
- Book Title
- Advanced Applied Deep Learning
- Title
- Advanced Applied Deep Learning
- Subtitle
- Convolutional Neural Networks and Object Detection
- EAN
- 9781484249758
- ISBN
- 9781484249758
- Edition
- 1st ed.
- Release Date
- 09/29/2019
- Release Year
- 2019
- Country/Region of Manufacture
- US
- Item Height
- 235mm
- Genre
- Computing & Internet
- Subject Area
- Computers
- Publication Name
- Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection
- Publisher
- Apress L. P.
- Item Length
- 9.3 in
- Subject
- Intelligence (Ai) & Semantics, Programming / Open Source, Programming Languages / Python
- Publication Year
- 2019
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 16.5 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xviii, 285 Pages
About this product
Product Identifiers
Publisher
Apress L. P.
ISBN-10
1484249755
ISBN-13
9781484249758
eBay Product ID (ePID)
23038381964
Product Key Features
Number of Pages
Xviii, 285 Pages
Publication Name
Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection
Language
English
Subject
Intelligence (Ai) & Semantics, Programming / Open Source, Programming Languages / Python
Publication Year
2019
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Weight
16.5 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Chapter 1: Introduction and Development Environment Setup.- Chapter 2: TensorFlow: advanced topics.- Chapter 3: Fundamentals of Convolutional Neural Networks.- Chapter 4: Advanced CNNs and Transfer Learning.- Chapter 5: Cost functions and style transfer.- Chapter 6: Object classification - an introduction.- Chapter 7: Object localization - an implementation in Python.- Chapter 8: Histology Tissue Classification
Synopsis
Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning , you will study advanced topics on CNN and object detection using Keras and TensorFlow. Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models. Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level. What You Will Learn See how convolutional neural networks and object detection work Save weights and models on disk Pause training and restart it at a later stage Use hardware acceleration (GPUs) in your code Work with the Dataset TensorFlow abstraction and use pre-trained models and transfer learning Remove and add layers to pre-trained networks to adapt them to your specific project Apply pre-trained models such as Alexnet and VGG16 to new datasets Who This Book Is For Scientists and researchers with intermediate-to-advanced Python and machine learning know-how. Additionally, intermediate knowledge of Keras and TensorFlow is expected.
LC Classification Number
Q334-342
Item description from the seller
Business seller information
Value Added Tax Number:
- GB 864154811
Seller assumes all responsibility for this listing.
eBay item number:116082791738
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