【Enter the course process】

Click [Buy Now], and after completing the checkout process, please wait for 1-2 working days (excluding holidays) to check your email for course information, and then you can complete the course on the Ewant Open Education Platform!

Deep Learning

This course provides a preview of some chapters and units. You are welcome to watch and learn first before deciding whether to purchase the full course!

Chapter 1: Let the computer learn to recognize scissors, rock, and paper in 10 minutes
1-1 10 minutes to teach a computer to recognize scissors, rock, and paper

Chapter 2: Visible Neural Networks: TensorFlow Playground
2-1 Visible Neural Networks: TensorFlow Playground (Part 1)
2-2 Visible Neural Networks: TensorFlow Playground (Part 2)
2-3 Visible Neural Networks: TensorFlow Playground (Part 3)

Chapter 3 Why Computers Can Recognize Images
3-1 Why can computers recognize images?

Chapter 4 Is it a cat or a dog? CNN network AI identifies in seconds
4-1 Handwritten digit recognition in seconds
4-2 Combined cat and dog data set (Part 1)
4-3 Merging the Cat and Dog Data Set (Part 2)
4-4 Creating a CNN-like neural network model (Part 1)
4-5 Creating a CNN-like neural network model (Part 2)
4-6 AI Project Implementation_Cat and Dog Identification (Part 1)
4-7 AI Project Implementation_Cat and Dog Identification (Part 2)
4-8 Chapter 4 Summary

Chapter 5 Extended Creation - Facial Recognition Access Control Management
5-1 Extended Creation - Facial Recognition Access Control Management

Total course time: 1:24:54
Number of classes: 5

Assessment <br>Assessment question type: Multiple choice Number of assessment questions: 49 questions

Verification certificate

The certification certificate can be uploaded to the Ministry of Education's learning process platform .<br>The steps are as follows:
Log in to the learning history upload page → Multiple learning performance → Certification record → Domestic / Other / iQiyi Smart Technology / Certificate name (please select the test name) / Level score / Certificate code (please refer to the list below) → Upload supporting documents