Learning Rate Methods , Regularization Techniques
![](https://i.ytimg.com/vi/4RP8trOTK_o/mqdefault.jpg)
15:39
Convolutional Neural Network CNN- الشبكات العصبية الملتفة
![](https://i.ytimg.com/vi/EehRcPo1M-Q/mqdefault.jpg)
11:40
Regularization in a Neural Network | Dealing with overfitting
![](https://i.ytimg.com/vi/K3M3obIJEgA/mqdefault.jpg)
24:51
Batch Normalization, Batch Gradient Descent, Stochastic GD and mini Batch GD.
![](https://i.ytimg.com/vi/wF7jDss3aYg/mqdefault.jpg)
11:55
Overfitting, Underfitting And Regularization techniques عربى
![](https://i.ytimg.com/vi/eZvEnun6l2k/mqdefault.jpg)
13:58
2.2.7 مقدار معامل التدريب Learning Rate
![](https://i.ytimg.com/vi/WIovJ0_9XJ8/mqdefault.jpg)
45:26
خوارزميات تعلم الآلة: تقييم نماذج الانحدار | Regression Models Evaluation (MAE, MSE, RMSE, & R2)
![](https://i.ytimg.com/vi/bbX_wJ_dwpU/mqdefault.jpg)
12:48
CS 152 NN—12: Regularization: Dropout
![](https://i.ytimg.com/vi/4FcW7OkIZLw/mqdefault.jpg)
8:10