Lecture 3 | Loss Functions and Optimization Published 2017-08-11 Download video MP4 360p Download video MP4 720p Recommendations 1:13:59 Lecture 4 | Introduction to Neural Networks 59:32 Lecture 2 | Image Classification 08:30 Loss Functions - EXPLAINED! 49:34 16. Learning: Support Vector Machines 57:57 Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition 15:52 Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam) 58:12 MIT Introduction to Deep Learning | 6.S191 1:14:26 Lecture 11 | Detection and Segmentation 07:23 Optimizers - EXPLAINED! 1:08:56 Lecture 5 | Convolutional Neural Networks 18:40 But what is a neural network? | Chapter 1, Deep learning 55:39 【機器學習2021】卷積神經網路 (Convolutional Neural Networks, CNN) 1:18:17 Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018) 1:11:41 Lecture 1 | Natural Language Processing with Deep Learning 1:20:20 Lecture 6 | Training Neural Networks I 23:54 Gradient Descent, Step-by-Step 36:55 Andrew Ng: Opportunities in AI - 2023 1:21:46 Lecture 16 | Adversarial Examples and Adversarial Training Similar videos 42:39 Lecture 3-1. Loss Functions and Optimization 32:17 Lecture 3-2. Loss Functions and Optimization 08:08 L5/3 Loss Functions 1:47:12 Lecture 03 - Loss function and optimization 1:15:37 [컴퓨터비전] Lecture 3. Loss Functions & Optimization 1:02:06 Lecture 3: Linear Classifiers 1:18:43 Lecture 3 | Learning, Empirical Risk Minimization, and Optimization 06:50 133 - What are Loss functions in machine learning? 1:11:23 CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization 1:17:14 Lecture 3 | Convex Optimization I (Stanford) 1:03:45 Deep Learning Lecture 5 (170919) - cs231n Lecture 3: Loss Functions and Optimization 1:03:07 Lecture 4: Optimization 59:56 Loss Functions in Deep Learning | Deep Learning | CampusX More results