Applied Deep Learning : Tools, Techniques, and Implementation /
This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and p...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| Edition: | 1st ed. 2022. |
| Series: | Computational Intelligence Methods and Applications,
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Part 1 Introduction and Overview
- Introduction
- Part 2 Foundations of Mashine Learning
- Fundamentals of Machine Learning
- Supervised Learning
- Un-Supervised Learning
- Performance Evaluation Metrics
- Part 3 Deep Learning Concepts and Techniques
- Introduction to Deep Learning
- Image Classification and Object Detection
- Deep Learning Techniques for Time Series Modelling
- Natural Language Processing
- Deep Generative Models
- Deep Reinforcement Learning
- Part 4 Enterprise Machine Learning
- Accelerated Machine Learning
- Deploying and Hosting Machine Learning Models
- Enterprise Machine Learning Serving. .