[DesireCourse.Com] Udemy - Artificial Intelligence II - Neural Networks in Java

Torrent Hash:
5EDA1FDD5CDCDC849C97A406B20B6A5242C19433
Number of Files:
125
Content Size:
818.26MB
Convert On:
2020-08-05
Keywords:
DesireCourseComUdemyArtificialIntelligenceIINeuralNetworksinJava
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File Name
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1. Introduction/1. Introduction.mp4
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1. Introduction/1. Introduction.vtt
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10. Classification - Iris Dataset/1. About the Iris dataset.mp4
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10. Classification - Iris Dataset/2. Constructing the neural network.vtt
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10. Classification - Iris Dataset/3. Testing the neural network.mp4
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11. Optical Character Recognition (OCR)/4. Creating the datasets.mp4
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11. Optical Character Recognition (OCR)/5. OCR with neural network.mp4
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12. Course Materials (DOWNLOADS)/1. Course materials.html
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2. Neural Networks Introduction/1. Axons and neurons in the human brain.mp4
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2. Neural Networks Introduction/2. Modeling human brain.mp4
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2. Neural Networks Introduction/9. Applications of neural networks.mp4
5.23MB
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2. Neural Networks Introduction/9. Applications of neural networks.vtt
2.39KB
3. Hopfield Neural Network/1. Hopfield neural network introduction.mp4
11.76MB
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3. Hopfield Neural Network/1. Hopfield neural network introduction.vtt
5.54KB
3. Hopfield Neural Network/2. Hopfield network energy.mp4
9.35MB
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3. Hopfield Neural Network/2. Hopfield network energy.vtt
4.49KB
3. Hopfield Neural Network/3. Hopfield neural network training and learning.mp4
11.55MB
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5.61KB
3. Hopfield Neural Network/4. Hopfield neural network problems.mp4
7.19MB
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3.57KB
3. Hopfield Neural Network/5. Hopfield neural network example.mp4
13.17MB
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6.26KB
3. Hopfield Neural Network/6. Hopfield network implementation I - utils.mp4
9.39MB
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4.05KB
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19.06MB
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7.3KB
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18.62MB
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7.18KB
3. Hopfield Neural Network/9. Hopfield network implementation IV - running the application.mp4
8.77MB
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4.28KB
4. Neural Networks With Backpropagation Theory/1. Feedforward neural networks.mp4
18.41MB
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8.88KB
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12.67MB
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5.72KB
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4.67MB
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2KB
4. Neural Networks With Backpropagation Theory/12. ARTICLE derivation of backpropagation.html
171B
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18.56MB
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4. Neural Networks With Backpropagation Theory/14. Applications of neural networks I - character recognition.mp4
8.77MB
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4. Neural Networks With Backpropagation Theory/15. Applications of neural networks II - stock market forecast.mp4
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4. Neural Networks With Backpropagation Theory/16. Deep learning.mp4
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4.58KB
4. Neural Networks With Backpropagation Theory/2. Optimization - cost function.mp4
25.89MB
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4. Neural Networks With Backpropagation Theory/2. Optimization - cost function.vtt
11.85KB
4. Neural Networks With Backpropagation Theory/3. ARTICLE optimization algorithms.html
230B
4. Neural Networks With Backpropagation Theory/4. Simplified feedforward network.mp4
19.42MB
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9.03KB
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14.72MB
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4. Neural Networks With Backpropagation Theory/6. The learning algorithm.mp4
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6.03KB
4. Neural Networks With Backpropagation Theory/7. Error calculation.mp4
13.73MB
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6.51KB
4. Neural Networks With Backpropagation Theory/8. Gradient calculation I - output layer.mp4
20.27MB
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9.29KB
4. Neural Networks With Backpropagation Theory/9. Gradient calculation II - hidden layer.mp4
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4.09KB
5. Types of Neural Networks/1. Types of neural networks.mp4
5.48MB
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4.37KB
6. Single Perceptron Model/1. Perceptron model training.mp4
4.67MB
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2.33KB
6. Single Perceptron Model/2. Perceptron model implementation I.mp4
11.54MB
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4.82KB
6. Single Perceptron Model/3. Perceptron model implementation II.mp4
12.83MB
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5.64KB
6. Single Perceptron Model/4. Perceptron model implementation III.mp4
13.67MB
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5.71KB
6. Single Perceptron Model/5. Trying to solve XOR problem.mp4
4.5MB
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1.69KB
6. Single Perceptron Model/6. Conclusion linearity and hidden layers.mp4
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3.33KB
7. Backpropagation Implementation/1. Structure of the feedforward network.mp4
13.12MB
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6.68KB
7. Backpropagation Implementation/2. Backpropagation implementation I - activation function.mp4
9.85MB
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4.53KB
7. Backpropagation Implementation/3. Backpropagation implementation II - NeuralNetwork.mp4
18.3MB
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7.83KB
7. Backpropagation Implementation/4. Backpropagation implementation III - Layer.mp4
12.07MB
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7. Backpropagation Implementation/4. Backpropagation implementation III - Layer.vtt
4.87KB
7. Backpropagation Implementation/5. Backpropagation implementation IV - run.mp4
16.42MB
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7. Backpropagation Implementation/5. Backpropagation implementation IV - run.vtt
7.07KB
7. Backpropagation Implementation/6. Backpropagation implementation V - train.mp4
16.02MB
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7. Backpropagation Implementation/6. Backpropagation implementation V - train.vtt
6.75KB
8. Logical Operators/1. Logical operators introduction.mp4
4.62MB
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8. Logical Operators/1. Logical operators introduction.vtt
2.04KB
8. Logical Operators/2. Running the neural network AND.mp4
17.96MB
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8. Logical Operators/2. Running the neural network AND.vtt
7.65KB
8. Logical Operators/3. Running the neural network OR.mp4
8.06MB
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8. Logical Operators/3. Running the neural network OR.vtt
3.64KB
8. Logical Operators/4. Running the neural network XOR.mp4
5.56MB
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8. Logical Operators/4. Running the neural network XOR.vtt
2.59KB
9. Clustering/1. Clustering with neural networks I.mp4
4.76MB
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9. Clustering/1. Clustering with neural networks I.vtt
2.42KB
9. Clustering/2. Clustering with neural networks II.mp4
13.49MB
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9. Clustering/2. Clustering with neural networks II.vtt
5.19KB
[DesireCourse.Com].url
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