Udemy - Neural Networks made easy with Matlab

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Udemy  Neural  Networks  made  easy  with  Matlab  
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Files
  1. 1- Chapter 1/1- Introduction.mp4 4.40MB
  2. 1- Chapter 1/2- What is in this course .mp4 6.22MB
  3. 1- Chapter 1/3- Function Fitting.mp4 12.00MB
  4. 1- Chapter 1/4- Pattern Recognition.mp4 17.99MB
  5. 1- Chapter 1/5- Data Clustering.mp4 11.02MB
  6. 2- Chapter 2/6- Simple Neuron.mp4 11.93MB
  7. 2- Chapter 2/7- Network architecture.mp4 7.08MB
  8. 2- Chapter 2/8- Data structure.mp4 11.72MB
  9. 2- Chapter 2/9- Training style.mp4 23.75MB
  10. 3- Chapter 3/10- Neuron Model.mp4 23.75MB
  11. 3- Chapter 3/11- Perceptron networks.mp4 12.90MB
  12. 3- Chapter 3/12- GUI nntool.mp4 11.68MB
  13. 4- Chapter 4/13- Network architecture.mp4 8.37MB
  14. 4- Chapter 4/14- Linear filters and linear classification.mp4 15.28MB
  15. 5- Chapter 5/15- Introduction to Training Process.mp4 12.01MB
  16. 5- Chapter 5/16- Back Propagation Architecture.mp4 12.99MB
  17. 5- Chapter 5/17- Momentum.mp4 7.49MB
  18. 5- Chapter 5/18- Faster learning Heuristic algorithm.mp4 13.55MB
  19. 5- Chapter 5/19- Faster training-numerical optimization techniques.mp4 17.63MB
  20. 5- Chapter 5/20- Numerical techniques Quasi newton.mp4 12.21MB
  21. 5- Chapter 5/21- Numerical techniques Levenberg Marquart.mp4 11.40MB
  22. 6- Chapter 6/22- Last Word.mp4 1.54MB
  23. 6- Chapter 6/23- Comparison of different training algorithms.mp4 36.23MB