Deep learning is the subset of machine learning and a method of training a system by itself. Machine learning is a software or technique that improves the performance of the system over time when determined against a specified task. It stems from artificial neural networks (ANNs). A neural network is a massively parallel distributed mainframe made up of simple processing units and has a natural tendency for storing observed knowledge and making it available to the user. The following diagram shows the subsets AI to provide a clear picture of the relationship between deep learning and machine learning.

PART 01: Executive summary

Highlights

Overview of revenue

PART 02: Scope of the report

Market overview

Market segmentation

Geographical information

Vendor selection

Summation errors

PART 03: Market research methodology

Research methodology

Economic indicators

PART 04: Introduction

Key market highlights

PART 05: Market landscape

PART 06: Market size and forecast

PART 07: Market segmentation by end-user

BFSI

Retail

Healthcare

Others

PART 08: Market segmentation by product

Hardware

Software and applications

Services

PART 09: Geographical segmentation

PART 10: Market drivers

Surging demand for more knowledge about decisions

and processes

Growing need for improved human and system

interaction

Increasing need for discovering useful insights from

available information

Increased deployment of LTE wireless broadband

PART 11: Impact of drivers

PART 12: Market challenges

Advances in learning process

Application of cross-layers

Lack of experienced talent

PART 13: Impact of drivers and challenges

PART 14: Market trends

Rising need for detecting new malware for cyber

security

Growing government investment in IoT

PART 15: Five forces model

PART 16: Vendor landscape

Competitive scenario

Top-vendor offerings

Vendor matrix

PART 17: Key vendor profiles

Vendor profiles

PART 18: Prominent vendors

Prominent deep learning frameworks and providers

Prominent deep learning software vendors

PART 19: Assumptions

Market assumptions

PART 20: Appendix

List of abbreviations

PART 21: Explore Technavio