Advanced Practical Training of TensorFlow Based on Python

Advanced Practical Training of TensorFlow Based on Python

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Deep learning is a general term for the process of machine learning using multi-layer neural networks. Multi-layer neural networks are models that utilize various mathematical methods and their combinations. In recent years, people have been able to effectively leverage neural networks primarily due to the reality of obtaining sufficient amounts of data and the rapid development of general GPUs, which has given multi-layer neural networks an advantage over other machine learning methods. When deciding how to utilize data most effectively, deep learning can provide models with greater flexibility.
TensorFlow is Google’s mainstream open-source deep learning framework, widely used in technology companies such as Google, Uber, JD.com, and Xiaomi. This course uses the TensorFlow framework as an introduction to deep learning, enabling students to quickly and effectively get started with TensorFlow and deep learning. The course eliminates the cumbersome mathematical model derivation of deep learning, starting from practical application problems, and introduces how to use deep learning to solve these problems through specific TensorFlow example programs. It includes introductory knowledge of deep learning and a wealth of practical experience, helping students enter this latest and hottest field of artificial intelligence.

1

Course Introduction

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Course Theme: Advanced Practical Training of TensorFlow Based on Python

Class Time: August 4-5, 2022
Target Audience:
1. System architects, system analysts, senior programmers, and experienced developers.
2. Responsible persons and designers involved in network collection, processing, and planning.
3. Heads of government agencies, financial insurance, mobile, and other units that rely on internet information as data sources.
4. Project leaders in universities and research institutions involved in network data collection, processing, and presentation.

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Training Objectives

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1. Gain a comprehensive understanding of deep learning and TensorFlow-related knowledge.

2. Learn the core technical methods and application features of TensorFlow.
3. Deeply use TensorFlow in deep learning.
▲ For the specific course outline, please contact the teaching assistant.

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Registration Method

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In addition to the above courses, there are more certification courses in artificial intelligence, IT management, software engineering, big data, cloud computing, and other areas being scheduled. Partners with related needs can contact dedicated course consultants or scan the QR code below for consultation.

Advanced Practical Training of TensorFlow Based on Python

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