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[FreeCourseLab.com] Udemy - Artificial Intelligence II - Neural Networks in Java
magnet:?xt=urn:btih:ad273397f7b43d6079472c87a6b97aa142aebb7d&dn=[FreeCourseLab.com] Udemy - Artificial Intelligence II - Neural Networks in Java
磁力链接详情
Hash值:
ad273397f7b43d6079472c87a6b97aa142aebb7d
点击数:
167
文件大小:
815.93 MB
文件数量:
59
创建日期:
2022-12-11 23:05
最后访问:
2024-6-14 17:57
访问标签:
FreeCourseLab
com
Udemy
-
Artificial
Intelligence
II
-
Neural
Networks
in
Java
文件列表详情
1. Introduction/1. Introduction.mp4 6.95 MB
10. Classification - Iris Dataset/1. About the Iris dataset.mp4 7.12 MB
10. Classification - Iris Dataset/2. Constructing the neural network.mp4 8.03 MB
10. Classification - Iris Dataset/3. Testing the neural network.mp4 34.16 MB
11. Optical Character Recognition (OCR)/1. Optical character recognition theory.mp4 7.88 MB
11. Optical Character Recognition (OCR)/2. Installing paint.net.mp4 5.15 MB
11. Optical Character Recognition (OCR)/3. Transform an image into numerical data.mp4 9.83 MB
11. Optical Character Recognition (OCR)/4. Creating the datasets.mp4 7.64 MB
11. Optical Character Recognition (OCR)/5. OCR with neural network.mp4 43.94 MB
2. Neural Networks Introduction/1. Axons and neurons in the human brain.mp4 19.29 MB
2. Neural Networks Introduction/2. Modeling human brain.mp4 93.92 MB
2. Neural Networks Introduction/3. Learning paradigms.mp4 6.86 MB
2. Neural Networks Introduction/4. Artificial neurons - the model.mp4 16.55 MB
2. Neural Networks Introduction/5. Artificial neurons - activations functions.mp4 14.25 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
2. Neural Networks Introduction/9. Applications of neural networks.mp4 5.23 MB
3. Hopfield Neural Network/1. Hopfield neural network introduction.mp4 11.76 MB
3. Hopfield Neural Network/2. Hopfield network energy.mp4 9.35 MB
3. Hopfield Neural Network/3. Hopfield neural network training and learning.mp4 11.55 MB
3. Hopfield Neural Network/4. Hopfield neural network problems.mp4 7.19 MB
3. Hopfield Neural Network/5. Hopfield neural network example.mp4 13.17 MB
3. Hopfield Neural Network/6. Hopfield network implementation I - utils.mp4 9.39 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
3. Hopfield Neural Network/9. Hopfield network implementation IV - running the application.mp4 8.77 MB
4. Neural Networks With Backpropagation Theory/1. Feedforward neural networks.mp4 18.41 MB
4. Neural Networks With Backpropagation Theory/10. Backpropagation.mp4 12.67 MB
4. Neural Networks With Backpropagation Theory/11. Backpropagation II.mp4 4.67 MB
4. Neural Networks With Backpropagation Theory/13. Resilient propagation.mp4 18.56 MB
4. Neural Networks With Backpropagation Theory/14. Applications of neural networks I - character recognition.mp4 8.77 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
4. Neural Networks With Backpropagation Theory/2. Optimization - cost function.mp4 25.89 MB
4. Neural Networks With Backpropagation Theory/4. Simplified feedforward network.mp4 19.42 MB
4. Neural Networks With Backpropagation Theory/5. Feedforward neural network topology.mp4 14.72 MB
4. Neural Networks With Backpropagation Theory/6. The learning algorithm.mp4 13.25 MB
4. Neural Networks With Backpropagation Theory/7. Error calculation.mp4 13.73 MB
4. Neural Networks With Backpropagation Theory/8. Gradient calculation I - output layer.mp4 20.27 MB
4. Neural Networks With Backpropagation Theory/9. Gradient calculation II - hidden layer.mp4 9.17 MB
5. Types of Neural Networks/1. Types of neural networks.mp4 5.48 MB
6. Single Perceptron Model/1. Perceptron model training.mp4 4.67 MB
6. Single Perceptron Model/2. Perceptron model implementation I.mp4 11.54 MB
6. Single Perceptron Model/3. Perceptron model implementation II.mp4 12.83 MB
6. Single Perceptron Model/4. Perceptron model implementation III.mp4 13.67 MB
6. Single Perceptron Model/5. Trying to solve XOR problem.mp4 4.5 MB
6. Single Perceptron Model/6. Conclusion linearity and hidden layers.mp4 6.73 MB
7. Backpropagation Implementation/1. Structure of the feedforward network.mp4 13.12 MB
7. Backpropagation Implementation/2. Backpropagation implementation I - activation function.mp4 9.85 MB
7. Backpropagation Implementation/3. Backpropagation implementation II - NeuralNetwork.mp4 18.3 MB
7. Backpropagation Implementation/4. Backpropagation implementation III - Layer.mp4 12.07 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
8. Logical Operators/1. Logical operators introduction.mp4 4.62 MB
8. Logical Operators/2. Running the neural network AND.mp4 17.96 MB
8. Logical Operators/3. Running the neural network OR.mp4 8.06 MB
8. Logical Operators/4. Running the neural network XOR.mp4 5.56 MB
9. Clustering/1. Clustering with neural networks I.mp4 4.76 MB
9. Clustering/2. Clustering with neural networks II.mp4 13.49 MB
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