Udemy - Artificial Intelligence II – Neural Networks In Java

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Udemy - Artificial Intelligence II – Neural Networks In Java

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Udemy - Artificial Intelligence II – Neural Networks In Java
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1. 90% OFF For Other Courses.html
HTML
5.1 KB
1. About the Iris dataset.mp4
MP4
7.1 MB
1. About the Iris dataset.vtt
VTT
3 KB
1. Axons and neurons in the human brain.mp4
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19.3 MB
1. Axons and neurons in the human brain.vtt
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9.2 KB
1. Clustering with neural networks I.mp4
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4.8 MB
1. Clustering with neural networks I.vtt
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2.4 KB
1. Course materials.html
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102.4 B
1. Feedforward neural networks.mp4
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18.4 MB
1. Feedforward neural networks.vtt
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8.9 KB
1. Hopfield neural network introduction.mp4
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11.8 MB
1. Hopfield neural network introduction.vtt
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5.5 KB
1. Introduction.mp4
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6.9 MB
1. Introduction.vtt
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3.6 KB
1. Logical operators introduction.mp4
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4.6 MB
1. Logical operators introduction.vtt
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2 KB
1. Optical character recognition theory.mp4
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7.9 MB
1. Optical character recognition theory.vtt
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3.9 KB
1. Perceptron model training.mp4
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4.7 MB
1. Perceptron model training.vtt
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2.3 KB
1. Structure of the feedforward network.mp4
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13.1 MB
1. Structure of the feedforward network.vtt
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6.7 KB
1. Types of neural networks.mp4
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5.5 MB
1. Types of neural networks.vtt
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4.4 KB
1.1 neural_networks.zip.zip
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2 MB
10. Backpropagation.mp4
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12.7 MB
10. Backpropagation.vtt
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5.7 KB
11. Backpropagation II.mp4
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4.7 MB
11. Backpropagation II.vtt
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2 KB
12. ARTICLE derivation of backpropagation.html
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204.8 B
13. Resilient propagation.mp4
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18.6 MB
13. Resilient propagation.vtt
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5.1 KB
14. Applications of neural networks I - character recognition.mp4
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8.8 MB
14. Applications of neural networks I - character recognition.vtt
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4.4 KB
15. Applications of neural networks II - stock market forecast.mp4
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9.5 MB
15. Applications of neural networks II - stock market forecast.vtt
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4.7 KB
16. Deep learning.mp4
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9.5 MB
16. Deep learning.vtt
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4.6 KB
2. Backpropagation implementation I - activation function.mp4
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9.8 MB
2. Backpropagation implementation I - activation function.vtt
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4.5 KB
2. Clustering with neural networks II.mp4
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13.5 MB
2. Clustering with neural networks II.vtt
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5.2 KB
2. Constructing the neural network.mp4
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8 MB
2. Constructing the neural network.vtt
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2.9 KB
2. Hopfield network energy.mp4
MP4
9.4 MB
2. Hopfield network energy.vtt
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4.5 KB
2. Installing paint.net.mp4
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5.2 MB
2. Installing paint.net.vtt
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2.7 KB
2. Modeling human brain.mp4
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93.9 MB
2. Modeling human brain.vtt
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8.3 KB
2. Optimization - cost function.mp4
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25.9 MB
2. Optimization - cost function.vtt
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11.9 KB
2. Perceptron model implementation I.mp4
MP4
11.5 MB
2. Perceptron model implementation I.vtt
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4.8 KB
2. Running the neural network AND.mp4
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18 MB
2. Running the neural network AND.vtt
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7.7 KB
3. ARTICLE optimization algorithms.html
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204.8 B
3. Backpropagation implementation II - NeuralNetwork.mp4
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18.3 MB
3. Backpropagation implementation II - NeuralNetwork.vtt
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7.8 KB
3. Hopfield neural network training and learning.mp4
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11.5 MB
3. Hopfield neural network training and learning.vtt
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5.6 KB
3. Learning paradigms.mp4
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6.9 MB
3. Learning paradigms.vtt
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3 KB
3. Perceptron model implementation II.mp4
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12.8 MB
3. Perceptron model implementation II.vtt
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5.6 KB
3. Running the neural network OR.mp4
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8.1 MB
3. Running the neural network OR.vtt
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3.6 KB
3. Testing the neural network.mp4
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34.2 MB
3. Testing the neural network.vtt
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6.8 KB
3. Transform an image into numerical data.mp4
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9.8 MB
3. Transform an image into numerical data.vtt
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4.8 KB
4. Artificial neurons - the model.mp4
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16.5 MB
4. Artificial neurons - the model.vtt
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7.4 KB
4. Backpropagation implementation III - Layer.mp4
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12.1 MB
4. Backpropagation implementation III - Layer.vtt
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4.9 KB
4. Creating the datasets.mp4
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7.6 MB
4. Creating the datasets.vtt
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2.4 KB
4. Hopfield neural network problems.mp4
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7.2 MB
4. Hopfield neural network problems.vtt
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3.6 KB
4. Perceptron model implementation III.mp4
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13.7 MB
4. Perceptron model implementation III.vtt
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5.7 KB
4. Running the neural network XOR.mp4
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5.6 MB
4. Running the neural network XOR.vtt
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2.6 KB
4. Simplified feedforward network.mp4
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19.4 MB
4. Simplified feedforward network.vtt
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9 KB
5. Artificial neurons - activations functions.mp4
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14.2 MB
5. Artificial neurons - activations functions.vtt
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6.6 KB
5. Backpropagation implementation IV - run.mp4
MP4
16.4 MB
5. Backpropagation implementation IV - run.vtt
VTT
7.1 KB
5. Feedforward neural network topology.mp4
MP4
14.7 MB
5. Feedforward neural network topology.vtt
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6.6 KB
5. Hopfield neural network example.mp4
MP4
13.2 MB
5. Hopfield neural network example.vtt
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6.3 KB
5. OCR with neural network.mp4
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43.9 MB
5. OCR with neural network.vtt
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6.7 KB
5. Trying to solve XOR problem.mp4
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4.5 MB
5. Trying to solve XOR problem.vtt
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1.7 KB
6. ARTICLE activation functions.html
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204.8 B
6. Backpropagation implementation V - train.mp4
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16 MB
6. Backpropagation implementation V - train.vtt
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6.7 KB
6. Conclusion linearity and hidden layers.mp4
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6.7 MB
6. Conclusion linearity and hidden layers.vtt
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3.3 KB
6. Hopfield network implementation I - utils.mp4
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9.4 MB
6. Hopfield network implementation I - utils.vtt
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4 KB
6. The learning algorithm.mp4
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13.3 MB
6. The learning algorithm.vtt
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6 KB
7. Artificial neurons - an example.mp4
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11.4 MB
7. Artificial neurons - an example.vtt
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4.8 KB
7. Error calculation.mp4
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13.7 MB
7. Error calculation.vtt
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6.5 KB
7. Hopfield network implementation II - matrix operations.mp4
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19.1 MB
7. Hopfield network implementation II - matrix operations.vtt
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7.3 KB
8. Gradient calculation I - output layer.mp4
MP4
20.3 MB
8. Gradient calculation I - output layer.vtt
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9.3 KB
8. Hopfield network implementation III - network.mp4
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18.6 MB
8. Hopfield network implementation III - network.vtt
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7.2 KB
8. Neural networks - the big picture.mp4
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10.8 MB
8. Neural networks - the big picture.vtt
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4.8 KB
9. Applications of neural networks.mp4
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5.2 MB
9. Applications of neural networks.vtt
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2.4 KB
9. Gradient calculation II - hidden layer.mp4
MP4
9.2 MB
9. Gradient calculation II - hidden layer.vtt
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4.1 KB
9. Hopfield network implementation IV - running the application.mp4
MP4
8.8 MB
9. Hopfield network implementation IV - running the application.vtt
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4.3 KB
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URL
0 B

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