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深度類神經計算及應用
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General
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Select activity 公告
公告
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Select activity 智慧計算及應用 Intelligent Computation and Applications 系列課程簡介影片
智慧計算及應用 Intelligent Computation and Applications 系列課程簡介影片
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Select topic Topic 1
Topic 1
Select activity 1.1 Neural Structure
1.1 Neural Structure
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Select activity 1.2 Adaptive Linear Neuron
1.2 Adaptive Linear Neuron
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Select activity 1.3 The Fundamental Neural Network
1.3 The Fundamental Neural Network
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Select activity 1.4 One Layer Neural Network
1.4 One Layer Neural Network
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Select activity 1.5 Multiple Layers Neural Network
1.5 Multiple Layers Neural Network
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Select topic Topic 2
Topic 2
Select activity 2.1 The Concept of Perceptron
2.1 The Concept of Perceptron
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Select activity 2.2 The Linear Separable Problem
2.2 The Linear Separable Problem
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Select activity 2.3 The OR Separable Problem
2.3 The OR Separable Problem
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Select activity 2.4 The Perceptron Learning Algorithm
2.4 The Perceptron Learning Algorithm
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Select topic Topic 3
Topic 3
Select activity 3.1 Taylor Expansion
3.1 Taylor Expansion
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Select activity 3.2 Performance Functions
3.2 Performance Functions
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Select activity 3.3 Steepest Descent Approach
3.3 Steepest Descent Approach
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Select activity 3.4 Convergent Learning
3.4 Convergent Learning
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Select topic Topic 4
Topic 4
Select activity 4.1 The Experimental Architecture ADALINE
4.1 The Experimental Architecture ADALINE
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Select activity 4.2 MSE Performance Function
4.2 MSE Performance Function
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Select activity 4.3 Approximate Steepest Descent
4.3 Approximate Steepest Descent
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Select activity 4.4 LMS Learning Algorithm
4.4 LMS Learning Algorithm
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Select activity 4.5 Experimental Testing
4.5 Experimental Testing
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Select topic Topic 5
Topic 5
Select activity 5.1 The Multi Layer Architecture for Backpropagation Learning
5.1 The Multi Layer Architecture for Backpropagation Learning
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Select activity 5.2 The Backpropagation Learning Algorithm
5.2 The Backpropagation Learning Algorithm
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Select activity 5.3 The Experimental Architecture – 2 3 2
5.3 The Experimental Architecture – 2 3 2
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Select activity 5.4 The Application of Function Approximation
5.4 The Application of Function Approximation
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Select topic Topic 6
Topic 6
Select activity 6.1 Starting to Install Python
6.1 Starting to Install Python
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Select activity 6.2 Learning Data
6.2 Learning Data
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Select activity 6.3 LMS Learning Practice
6.3 LMS Learning Practice
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Select activity 6.4 Backpropagation Learning Practice
6.4 Backpropagation Learning Practice
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Select topic Topic 7
Topic 7
Select activity 7.1 Basic Concept of Convolution Neural Network
7.1 Basic Concept of Convolution Neural Network
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Select activity 7.2 Convolutioanl Operation
7.2 Convolutioanl Operation
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Select activity 7.3 ReLU Operation
7.3 ReLU Operation
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Select activity 7.4 Pooling Operation
7.4 Pooling Operation
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Select activity 7.5 Percetron Operation
7.5 Percetron Operation
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Select topic Topic 8
Topic 8
Select activity 8.1 Basic Concept of Recurrence Neural Network
8.1 Basic Concept of Recurrence Neural Network
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Select activity 8.2 Basic RNN Learning Algorithm
8.2 Basic RNN Learning Algorithm
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Select activity 8.3 More Concept of RNN Learning Algorithm
8.3 More Concept of RNN Learning Algorithm
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Select activity 8.4 Long Short Term Memory RNN
8.4 Long Short Term Memory RNN
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Select topic Topic 9
Topic 9
Select activity 9.1 從TensorFlow中取得MNIST資料集
9.1 從TensorFlow中取得MNIST資料集
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Select activity 9.2 建立卷機神經網路模型
9.2 建立卷機神經網路模型
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Select activity 9.3 卷機神經網路模型訓練
9.3 卷機神經網路模型訓練
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Select activity 9.5 LSTM資料集與讀取資料
9.5 LSTM資料集與讀取資料
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Select activity 9.6 產生訓練與驗證資料
9.6 產生訓練與驗證資料
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Select activity 9.7 長短期記憶模型建立
9.7 長短期記憶模型建立
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Select activity 9.8 長短期記憶模型驗證
9.8 長短期記憶模型驗證
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