| 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 |