Genre:eLearning |Language:English
Files Included :
1- Introduction.mp4 (4.4 MB)
2- What is in this course.mp4 (6.22 MB)
3- Function Fitting.mp4 (12 MB)
4- Pattern Recognition.mp4 (17.99 MB)
5- Data Clustering.mp4 (11.02 MB)
6- Simple Neuron.mp4 (11.93 MB)
7- Network architecture.mp4 (7.08 MB)
8- Data structure.mp4 (11.72 MB)
9- Training style.mp4 (23.75 MB)
10- Neuron Model.mp4 (23.75 MB)
11- Perceptron networks.mp4 (12.9 MB)
12- GUI nntool.mp4 (11.68 MB)
13- Network architecture.mp4 (8.37 MB)
14- Linear filters and linear classification.mp4 (15.28 MB)
15- Introduction to Training Process.mp4 (12.01 MB)
16- Back Propagation Architecture.mp4 (12.99 MB)
17- Momentum.mp4 (7.49 MB)
18- Faster learning Heuristic algorithm.mp4 (13.55 MB)
19- Faster training-numerical optimization techniques.mp4 (17.63 MB)
20- Numerical techniques Quasi newton.mp4 (12.21 MB)
21- Numerical techniques Levenberg Marquart.mp4 (11.4 MB)
22- Last Word.mp4 (1.54 MB)
23- Comparison of different training algorithms.mp4 (36.23 MB)]