Regularization in a Neural Network explained Published 2017-11-22 Download video MP4 360p Recommendations 03:54 Batch Size in a Neural Network explained 35:57 Regularization in Deep Learning | L2 Regularization in ANN | L1 Regularization | Weight Decay in ANN 12:44 Regularization - Explained! 04:26 Learning Rate in a Neural Network explained 23:01 But what is a convolution? 05:01 Activation Functions in a Neural Network explained 11:40 Regularization in a Neural Network | Dealing with overfitting 08:19 When Should You Use L1/L2 Regularization 31:28 Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math) 07:32 Batch Normalization (“batch norm”) explained 06:16 Layers in a Neural Network explained 08:37 Convolutional Neural Networks (CNNs) explained 03:47 Training a Neural Network explained 09:43 Regularization (C2W1L04) 19:02 Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python) Similar videos 04:30 Regularization in Deep Learning | How it solves Overfitting ? 11:31 Tutorial 9- Drop Out Layers in Multi Neural Network 07:10 NN - 16 - L2 Regularization / Weight Decay (Theory + @PyTorch code) 20:27 Regularization Part 1: Ridge (L2) Regression 01:17 Dropout layer in Neural Network | Dropout Explained | Quick Explained 16:13 L2 Regularization neural network in Python from Scratch | Explanation with Implementation 13:18 Regularization in Neural Networks and Deep Learning with Keras and TensorFlow 09:14 Regularization in Neural Network || Lesson 20 || Deep Learning || Learning Monkey || 27:51 Dropout Layer in Deep Learning | Dropouts in ANN | End to End Deep Learning 06:29 Early Stopping. The Most Popular Regularization Technique In Machine Learning. More results