Week-12 | Loss functions, Neural Networks Published -- Download video MP4 360p Recommendations 2:01:56 Revision | Weeks 9 and 10 40:08 The Most Important Algorithm in Machine Learning 58:12 MIT Introduction to Deep Learning | 6.S191 1:13:25 BA-Sep2024-Session1-Week2 1:51:04 01L – Gradient descent and the backpropagation algorithm 34:32 Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning] 07:41 Noam Chomsky on Israel 11:14 The Man Who Solved the World’s Most Famous Math Problem 09:21 Backpropagation in Convolutional Neural Networks (CNNs) 1:44:31 Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) 57:24 Terence Tao at IMO 2024: AI and Mathematics 06:57 The Sigmoid Function Clearly Explained 06:50 133 - What are Loss functions in machine learning? 26:57 The most beautiful equation in math, explained visually [Euler’s Formula] 2:47:36 MLT Workshop: Day-1 2:16:43 Week-11 and 12 | TA Session-2 Similar videos 44:06 Week-12-OpenAndSWI 07:38 The Loss Function in Neural Networks | Episode 4, S01, Deep Learning 12:47 What is backpropagation really doing? | Chapter 3, Deep learning 1:16:38 Lecture 12 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018) 50:59 ML Zoomcamp Office Hours - Week #12 (by Dmitry Muzalevskiy) 1:05:34 Neural Networks - Back Propagation (Week 12-01) 08:30 Loss Functions - EXPLAINED! 05:45 Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn 1:35:51 week 12 -- Summary 07:32 Cost Function in Neural Networks | Neural Networks for Machine Learning 1:16:28 (MLT) Activity/Practice Ques- Week 12 12:45 Back Propagation in Neural Network with an example 1:23:50 Numerics of ML 12 -- Second-Order Optimization for Deep Learning -- Lukas Tatzel More results