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Udemy - Neural Networks made easy with Matlab

File Name
Size
1- Chapter 1/1- Introduction.mp4
4.4 MB
1- Chapter 1/2- What is in this course .mp4
6.2 MB
1- Chapter 1/3- Function Fitting.mp4
12 MB
1- Chapter 1/4- Pattern Recognition.mp4
18 MB
1- Chapter 1/5- Data Clustering.mp4
11 MB
2- Chapter 2/6- Simple Neuron.mp4
12 MB
2- Chapter 2/7- Network architecture.mp4
7.1 MB
2- Chapter 2/8- Data structure.mp4
12 MB
2- Chapter 2/9- Training style.mp4
24 MB
3- Chapter 3/10- Neuron Model.mp4
24 MB
3- Chapter 3/11- Perceptron networks.mp4
13 MB
3- Chapter 3/12- GUI nntool.mp4
12 MB
4- Chapter 4/13- Network architecture.mp4
8.4 MB
4- Chapter 4/14- Linear filters and linear classification.mp4
15 MB
5- Chapter 5/15- Introduction to Training Process.mp4
12 MB
5- Chapter 5/16- Back Propagation Architecture.mp4
13 MB
5- Chapter 5/17- Momentum.mp4
7.5 MB
5- Chapter 5/18- Faster learning Heuristic algorithm.mp4
14 MB
5- Chapter 5/19- Faster training-numerical optimization techniques.mp4
18 MB
5- Chapter 5/20- Numerical techniques Quasi newton.mp4
12 MB
5- Chapter 5/21- Numerical techniques Levenberg Marquart.mp4
11 MB
6- Chapter 6/22- Last Word.mp4
1.5 MB
6- Chapter 6/23- Comparison of different training algorithms.mp4
36 MB