Module 4- Part 2- Deep Neural Networks Regularization techniques Published 2023-02-16 Download video MP4 360p Recommendations 1:32:09 Module 4- Part 3- Deep Neural Networks with Python Tensorflow 3:37:32 Machine Learning & Neural Networks without Libraries – No Black Box Course 1:17:40 Lecture 9 | CNN Architectures 11:40 Regularization in a Neural Network | Dealing with overfitting 24:11 Compliant Mechanisms that LEARN! - Mechanical Neural Network Architected Materials 51:06 Intro to graph neural networks (ML Tech Talks) 25:28 Dendrites: Why Biological Neurons Are Deep Neural Networks 59:46 An Introduction to LSTMs in Tensorflow 11:31 Tutorial 9- Drop Out Layers in Multi Neural Network 09:26 Dropout Regularization (C2W1L06) 18:54 The Essential Main Ideas of Neural Networks 29:47 Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained) 16:37 Recurrent Neural Networks (RNNs), Clearly Explained!!! 18:08 Deriving the Transformer Neural Network from Scratch #SoME3 51:40 A Hands-on Introduction to Physics-informed Machine Learning 07:05 Understanding Dropout (C2W1L07) 49:01 MIT Introduction to Deep Learning (2022) | 6.S191 33:20 A friendly introduction to Deep Learning and Neural Networks 2:25:52 The spelled-out intro to neural networks and backpropagation: building micrograd 24:38 How Deep Neural Networks Work Similar videos 1:05:02 Module 4- Part 1- Deep Neural Networks basics 22:22 4.1: Early Stopping and Encoding a Feature Vector for Deep Neural Networks(Module 4, Part 1) 21:32 Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Flatten | Formula 08:19 When Should You Use L1/L2 Regularization 05:24 TensorFlow Tutorial 5 - Adding Regularization with L2 and Dropout 33:47 Neural Networks from Scratch - P.4 Batches, Layers, and Objects 08:57 Radial Basis Function RBF | Gaussian RBF Multiquadratic RBF Artificial Neural Network Mahesh Huddar 22:39 Feature Selection In Machine Learning | Feature Selection Techniques With Examples | Simplilearn 13:41 4.2 Penalty-based Regularization 29:15 Understanding Convolutional Neural Networks | Part 2 / 3 - Wonders of the world CNN with PyTorch 02:42 K-Fold Cross Validation - Intro to Machine Learning 1:29:25 TWiML x Fast ai v3 Deep Learning Part 2 Study Group - Lesson 10 - Spring 2019 1080p 4:09:14 PyTorch Most Common Techniques for Deep Learning | Data Science | Machine Learning 02:32 Weight Initialization and Regularization Techniques for NNs 11:46 Hyperparameters, Regularization || Machine Learning More results