Who should Attend

• Those who are interested in learning how to build and manage AI for commercial needs
• Those who are interested in the integration between AI and cloud service
• Those who hope to know how to maintain Huawei AI products and AI cloud services

Prerequisities

• Able to initialize and use primitive Java data types (i.e. float, int, etc)
• Select and use Collections fromjava.util.Col-lections
• Design and create classes and class methods in Java, and create interfaces and subclasses in Java.
• Have intermediate to advanced Python experience
• Familiar with object-oriented programming
• Can write nested for loops and can read and understand code written by others.

Duration

5 Days

Course Outline

Basics
1 Deep Learning Background Knowledge
2 Artificial Neural Network
3 Deep Feedforward Network
4 Back Propagation
5 Neural Network Architecture Design

Image Processing Theory and Application
1 Computer Vision Overview
2 Digital image processing fundamentals
3 Image Preprocessing Technology
4 Basic Tasks of Image Processing
5 Feature Extraction and Traditional Methods
6 Deep Learning and Convolution Neural Network

Theory and Application of Automatic Speech Recognition
1 Introduction to Speech processing
2 GMM
3 HMM
4 GMM-HMM
5 DNN
6 DNN-HMM and CD-DNN-HMM
7 RNN
8 LSTM and Future Outlook

Theory and application of natural language comprehension
1 Introduction to NLP
2 Languages Models
3 Text Vectorization
4 Common Algorithms
5 Key Tasks
6 Applications of NLP

Overview of Huawei’s AI Development Strategy and Full-stack, All-Scenario AI Portfolio
1 AI: New General Purpose Technology
2 The 10 changes that will define the future
3 Huawei’s AI Development Strategy