[FreeCourseLab.com] Udemy - Artificial Intelligence II - Neural Networks in Java

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文件数目：125个文件
文件大小：818.26 MB
收录时间：2019-04-21
访问次数：4
相关内容：FreeCourseLab Udemy Artificial Intelligence Neural Networks Java

文件meta

2. Neural Networks Introduction/2. Modeling human brain.mp4
93.92 MB
11. Optical Character Recognition (OCR)/5. OCR with neural network.mp4
43.94 MB
10. Classification - Iris Dataset/3. Testing the neural network.mp4
34.16 MB
4. Neural Networks With Backpropagation Theory/2. Optimization - cost function.mp4
25.89 MB
4. Neural Networks With Backpropagation Theory/8. Gradient calculation I - output layer.mp4
20.27 MB
4. Neural Networks With Backpropagation Theory/4. Simplified feedforward network.mp4
19.42 MB
2. Neural Networks Introduction/1. Axons and neurons in the human brain.mp4
19.29 MB
3. Hopfield Neural Network/7. Hopfield network implementation II - matrix operations.mp4
19.06 MB
3. Hopfield Neural Network/8. Hopfield network implementation III - network.mp4
18.62 MB
4. Neural Networks With Backpropagation Theory/13. Resilient propagation.mp4
18.56 MB
4. Neural Networks With Backpropagation Theory/1. Feedforward neural networks.mp4
18.41 MB
7. Backpropagation Implementation/3. Backpropagation implementation II - NeuralNetwork.mp4
18.3 MB
8. Logical Operators/2. Running the neural network AND.mp4
17.96 MB
2. Neural Networks Introduction/4. Artificial neurons - the model.mp4
16.55 MB
7. Backpropagation Implementation/5. Backpropagation implementation IV - run.mp4
16.42 MB
7. Backpropagation Implementation/6. Backpropagation implementation V - train.mp4
16.02 MB
4. Neural Networks With Backpropagation Theory/5. Feedforward neural network topology.mp4
14.72 MB
2. Neural Networks Introduction/5. Artificial neurons - activations functions.mp4
14.25 MB
4. Neural Networks With Backpropagation Theory/7. Error calculation.mp4
13.73 MB
6. Single Perceptron Model/4. Perceptron model implementation III.mp4
13.67 MB
9. Clustering/2. Clustering with neural networks II.mp4
13.49 MB
4. Neural Networks With Backpropagation Theory/6. The learning algorithm.mp4
13.25 MB
3. Hopfield Neural Network/5. Hopfield neural network example.mp4
13.17 MB
7. Backpropagation Implementation/1. Structure of the feedforward network.mp4
13.12 MB
6. Single Perceptron Model/3. Perceptron model implementation II.mp4
12.83 MB
4. Neural Networks With Backpropagation Theory/10. Backpropagation.mp4
12.67 MB
7. Backpropagation Implementation/4. Backpropagation implementation III - Layer.mp4
12.07 MB
3. Hopfield Neural Network/1. Hopfield neural network introduction.mp4
11.76 MB
3. Hopfield Neural Network/3. Hopfield neural network training and learning.mp4
11.55 MB
6. Single Perceptron Model/2. Perceptron model implementation I.mp4
11.54 MB
2. Neural Networks Introduction/7. Artificial neurons - an example.mp4
11.37 MB
2. Neural Networks Introduction/8. Neural networks - the big picture.mp4
10.77 MB
7. Backpropagation Implementation/2. Backpropagation implementation I - activation function.mp4
9.85 MB
11. Optical Character Recognition (OCR)/3. Transform an image into numerical data.mp4
9.83 MB
4. Neural Networks With Backpropagation Theory/15. Applications of neural networks II - stock market forecast.mp4
9.52 MB
4. Neural Networks With Backpropagation Theory/16. Deep learning.mp4
9.46 MB
3. Hopfield Neural Network/6. Hopfield network implementation I - utils.mp4
9.39 MB
3. Hopfield Neural Network/2. Hopfield network energy.mp4
9.35 MB
4. Neural Networks With Backpropagation Theory/9. Gradient calculation II - hidden layer.mp4
9.17 MB
4. Neural Networks With Backpropagation Theory/14. Applications of neural networks I - character recognition.mp4
8.77 MB
3. Hopfield Neural Network/9. Hopfield network implementation IV - running the application.mp4
8.77 MB
8. Logical Operators/3. Running the neural network OR.mp4
8.06 MB
10. Classification - Iris Dataset/2. Constructing the neural network.mp4
8.03 MB
11. Optical Character Recognition (OCR)/1. Optical character recognition theory.mp4
7.88 MB
11. Optical Character Recognition (OCR)/4. Creating the datasets.mp4
7.64 MB
3. Hopfield Neural Network/4. Hopfield neural network problems.mp4
7.19 MB
10. Classification - Iris Dataset/1. About the Iris dataset.mp4
7.12 MB
1. Introduction/1. Introduction.mp4
6.95 MB
2. Neural Networks Introduction/3. Learning paradigms.mp4
6.86 MB
6. Single Perceptron Model/6. Conclusion linearity and hidden layers.mp4
6.73 MB