9- DTI prediction part 4 Model Building
51:35
10- Weight Initialization and Activations
50:28
13- Optimizers and Learning Rate Schedules
15:06
6- DTI prediction part 1 (general intro to the paper)
39:27
1- intro to deep learning
33:44
15- Confusion matrix, Sensitivity, Specificity, Precision, and F1score Metrics
15:20
11- Batch Normalization
36:13
7- DTI prediction part 2 encoding
24:27