Emotion AI: Facial Key-points Detection

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在此指導項目中,您將:

Understand the theory and intuition behind Deep Neural Networks, and Residual Neural Networks, and Convolutional Neural Networks (CNNs).

Build and train a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend.

Assess the performance of trained CNN and ensure its generalization using various Key performance indicators.

Clock3 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this 1-hour long project-based course, you will be able to: - Understand the theory and intuition behind Deep Learning, Convolutional Neural Networks (CNNs) and Residual Neural Networks. - Import Key libraries, dataset and visualize images. - Perform data augmentation to increase the size of the dataset and improve model generalization capability. - Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend. - Compile and fit Deep Learning model to training data. - Assess the performance of trained CNN and ensure its generalization using various KPIs. - Improve network performance using regularization techniques such as dropout.

您要培養的技能

  • Deep Learning
  • Machine Learning
  • Python Programming
  • Artificial Intelligence(AI)
  • Computer Vision

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Task 1: Project Overview/Understand the problem statement and business case

  2. Task 2: Import Libraries/datasets and perform preliminary data processing

  3. Task 3: Perform Image Visualization

  4. Task 4: Perform Image Augmentation

  5. Task 5: Prepare the data for deep learning model training (Normalization/reshaping)

  6. Task 6: Understand the theory and intuition behind Deep Neural Networks and CNNs.

  7. Task 7: Build Deep Residual Neural Network Model

  8. Task 8: Compile and train deep learning model

  9. Task 9: Assess the Performance of the Trained Model

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

授課教師

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