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

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文件大小：818.26 MB
创建日期：2026-04-02
相关链接：FreeCourseLabUdemyArtificialIntelligenceNeuralNetworksJava

文件列表125

  •  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