Example Curriculum
Introduction
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Perceptron
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- 2.1.1. Perceptron 1 (18:50)
- 2.1.2. Perceptron 2 (20:55)
- 2.2. Training Neural Network Model (25:59)
- 2.3. Neural Network Playground (5:58)
- 2.4.1. Practise 1 - Simple Example with TensorFlow (19:58)
- 2.4.2. Practise 2 - Simple Example with TensorFlow (7:48)
- 2.4.3. Practise 3 - Simple Example with TensorFlow (8:39)
- 2.5.1. Practise 1 - Beginning with Digit Recognizer (13:25)
- 2.5.2. Practise 2 - Beginning with Digit Recognizer (19:52)
- 2.5.3. Practise 3 - Beginning with Digit Recognizer (10:11)
- 2.5.4. Practise 4 - Beginning with Digit Recognizer (14:21)
- 2.6. Practise - Digit Recognizer with Keras (17:17)
Convolutional Neural Network
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- 3.1. Introduction (1:49)
- 3.2.1. Layers in CNN (12:22)
- 3.2.2. Transfer Learning (4:38)
- 3.3. Application of CNN (5:42)
- 3.4.1. Practise 1 - How to implement CNN with TensorFlow (19:18)
- 3.4.2. Practise 2 - How to implement CNN with TensorFLow (19:49)
- 3.4.3. Practise 3 - How to implement CNN with TensorFlow (19:26)
- 3.5. Practise - Classify Images of Clothing with CNN and Keras (16:13)
- 3.6.1. Practise 1 - Transfer Learning with Keras (7:55)
- 3.6.2. Practise 2 - Transfer Learning with Keras (16:07)
Recurrent Neural Network
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- 4.1. Introduction to Recurrent Neural Network (5:02)
- 4.2. Traditional RNN Structure (8:00)
- 4.3. Practise - Understanding traditional RNN Structure (16:08)
- 4.4.1. LTSM 1 (9:08)
- 4.4.2. LSTM 2 (8:25)
- 4.5. Application of RNN (11:48)
- 4.6.1. Practise 1 - Classify text comment with RNN (20:04)
- 4.6.2. Practise 2 - Classify text comment with RNN (10:56)
Summary
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