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Udemy - Artificial Intelligence II – Neural Networks In Java

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Udemy - Artificial Intelligence II – Neural Networks In Java (Size: 818.3 MB)
  1. 90% OFF For Other Courses.html 5.1 KB
  1. About the Iris dataset.mp4 7.1 MB
  1. About the Iris dataset.vtt 3 KB
  1. Axons and neurons in the human brain.mp4 19.3 MB
  1. Axons and neurons in the human brain.vtt 9.2 KB
  1. Clustering with neural networks I.mp4 4.8 MB
  1. Clustering with neural networks I.vtt 2.4 KB
  1. Course materials.html 102.4 B
  1. Feedforward neural networks.mp4 18.4 MB
  1. Feedforward neural networks.vtt 8.9 KB
  1. Hopfield neural network introduction.mp4 11.8 MB
  1. Hopfield neural network introduction.vtt 5.5 KB
  1. Introduction.mp4 6.9 MB
  1. Introduction.vtt 3.6 KB
  1. Logical operators introduction.mp4 4.6 MB
  1. Logical operators introduction.vtt 2 KB
  1. Optical character recognition theory.mp4 7.9 MB
  1. Optical character recognition theory.vtt 3.9 KB
  1. Perceptron model training.mp4 4.7 MB
  1. Perceptron model training.vtt 2.3 KB
  1. Structure of the feedforward network.mp4 13.1 MB
  1. Structure of the feedforward network.vtt 6.7 KB
  1. Types of neural networks.mp4 5.5 MB
  1. Types of neural networks.vtt 4.4 KB
  1.1 neural_networks.zip.zip 2 MB
  10. Backpropagation.mp4 12.7 MB
  10. Backpropagation.vtt 5.7 KB
  11. Backpropagation II.mp4 4.7 MB
  11. Backpropagation II.vtt 2 KB
  12. ARTICLE derivation of backpropagation.html 204.8 B
  13. Resilient propagation.mp4 18.6 MB
  13. Resilient propagation.vtt 5.1 KB
  14. Applications of neural networks I - character recognition.mp4 8.8 MB
  14. Applications of neural networks I - character recognition.vtt 4.4 KB
  15. Applications of neural networks II - stock market forecast.mp4 9.5 MB
  15. Applications of neural networks II - stock market forecast.vtt 4.7 KB
  16. Deep learning.mp4 9.5 MB
  16. Deep learning.vtt 4.6 KB
  2. Backpropagation implementation I - activation function.mp4 9.8 MB
  2. Backpropagation implementation I - activation function.vtt 4.5 KB
  2. Clustering with neural networks II.mp4 13.5 MB
  2. Clustering with neural networks II.vtt 5.2 KB
  2. Constructing the neural network.mp4 8 MB
  2. Constructing the neural network.vtt 2.9 KB
  2. Hopfield network energy.mp4 9.4 MB
  2. Hopfield network energy.vtt 4.5 KB
  2. Installing paint.net.mp4 5.2 MB
  2. Installing paint.net.vtt 2.7 KB
  2. Modeling human brain.mp4 93.9 MB
  2. Modeling human brain.vtt 8.3 KB
  2. Optimization - cost function.mp4 25.9 MB
  2. Optimization - cost function.vtt 11.9 KB
  2. Perceptron model implementation I.mp4 11.5 MB
  2. Perceptron model implementation I.vtt 4.8 KB
  2. Running the neural network AND.mp4 18 MB
  2. Running the neural network AND.vtt 7.7 KB
  3. ARTICLE optimization algorithms.html 204.8 B
  3. Backpropagation implementation II - NeuralNetwork.mp4 18.3 MB
  3. Backpropagation implementation II - NeuralNetwork.vtt 7.8 KB
  3. Hopfield neural network training and learning.mp4 11.5 MB
  3. Hopfield neural network training and learning.vtt 5.6 KB
  3. Learning paradigms.mp4 6.9 MB
  3. Learning paradigms.vtt 3 KB
  3. Perceptron model implementation II.mp4 12.8 MB
  3. Perceptron model implementation II.vtt 5.6 KB
  3. Running the neural network OR.mp4 8.1 MB
  3. Running the neural network OR.vtt 3.6 KB
  3. Testing the neural network.mp4 34.2 MB
  3. Testing the neural network.vtt 6.8 KB
  3. Transform an image into numerical data.mp4 9.8 MB
  3. Transform an image into numerical data.vtt 4.8 KB
  4. Artificial neurons - the model.mp4 16.5 MB
  4. Artificial neurons - the model.vtt 7.4 KB
  4. Backpropagation implementation III - Layer.mp4 12.1 MB
  4. Backpropagation implementation III - Layer.vtt 4.9 KB
  4. Creating the datasets.mp4 7.6 MB
  4. Creating the datasets.vtt 2.4 KB
  4. Hopfield neural network problems.mp4 7.2 MB
  4. Hopfield neural network problems.vtt 3.6 KB
  4. Perceptron model implementation III.mp4 13.7 MB
  4. Perceptron model implementation III.vtt 5.7 KB
  4. Running the neural network XOR.mp4 5.6 MB
  4. Running the neural network XOR.vtt 2.6 KB
  4. Simplified feedforward network.mp4 19.4 MB
  4. Simplified feedforward network.vtt 9 KB
  5. Artificial neurons - activations functions.mp4 14.2 MB
  5. Artificial neurons - activations functions.vtt 6.6 KB
  5. Backpropagation implementation IV - run.mp4 16.4 MB
  5. Backpropagation implementation IV - run.vtt 7.1 KB
  5. Feedforward neural network topology.mp4 14.7 MB
  5. Feedforward neural network topology.vtt 6.6 KB
  5. Hopfield neural network example.mp4 13.2 MB
  5. Hopfield neural network example.vtt 6.3 KB
  5. OCR with neural network.mp4 43.9 MB
  5. OCR with neural network.vtt 6.7 KB
  5. Trying to solve XOR problem.mp4 4.5 MB
  5. Trying to solve XOR problem.vtt 1.7 KB
  6. ARTICLE activation functions.html 204.8 B
  6. Backpropagation implementation V - train.mp4 16 MB
  6. Backpropagation implementation V - train.vtt 6.7 KB
  6. Conclusion linearity and hidden layers.mp4 6.7 MB
  6. Conclusion linearity and hidden layers.vtt 3.3 KB
  6. Hopfield network implementation I - utils.mp4 9.4 MB
  6. Hopfield network implementation I - utils.vtt 4 KB
  6. The learning algorithm.mp4 13.3 MB
  6. The learning algorithm.vtt 6 KB
  7. Artificial neurons - an example.mp4 11.4 MB
  7. Artificial neurons - an example.vtt 4.8 KB
  7. Error calculation.mp4 13.7 MB
  7. Error calculation.vtt 6.5 KB
  7. Hopfield network implementation II - matrix operations.mp4 19.1 MB
  7. Hopfield network implementation II - matrix operations.vtt 7.3 KB
  8. Gradient calculation I - output layer.mp4 20.3 MB
  8. Gradient calculation I - output layer.vtt 9.3 KB
  8. Hopfield network implementation III - network.mp4 18.6 MB
  8. Hopfield network implementation III - network.vtt 7.2 KB
  8. Neural networks - the big picture.mp4 10.8 MB
  8. Neural networks - the big picture.vtt 4.8 KB
  9. Applications of neural networks.mp4 5.2 MB
  9. Applications of neural networks.vtt 2.4 KB
  9. Gradient calculation II - hidden layer.mp4 9.2 MB
  9. Gradient calculation II - hidden layer.vtt 4.1 KB
  9. Hopfield network implementation IV - running the application.mp4 8.8 MB
  9. Hopfield network implementation IV - running the application.vtt 4.3 KB
  [DesireCourse.Com].url 0 B
  ▲ 125 total files

Description


Artificial Intelligence II – Neural Networks In Java

Hopfield networks, neural networks, backpropagation, optical character recognition, feedforward networks

For More Courses Visit: https://desirecourse.com

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