MIT: Machine Learning 6.036, Lecture 8: Convolutional neural networks (Fall 2020) Published 2021-04-11 Download video MP4 360p Recommendations 1:21:55 MIT: Machine Learning 6.036, Lecture 9: State machines and Markov decision processes (Fall 2020) 55:15 MIT 6.S191: Convolutional Neural Networks 14:20 Solid figure and Plane figure Geometry - Ch 1 Simple Mathematics Class V 23:01 But what is a convolution? 15:05 Variational Autoencoders 15:24 Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs) 1:20:33 MIT: Machine Learning 6.036, Lecture 12: Decision trees and random forests (Fall 2020) 2:25:52 The spelled-out intro to neural networks and backpropagation: building micrograd 54:56 Terence Tao, "Machine Assisted Proof" 16:37 Recurrent Neural Networks (RNNs), Clearly Explained!!! 57:33 MIT 6.S191: Reinforcement Learning 1:20:57 MIT: Machine Learning 6.036, Lecture 1: Basics (Fall 2020) 2:17:09 Transformer, explained in detail | Igor Kotenkov | NLP Lecture (in Russian) 1:02:50 MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention 12:47 What is backpropagation really doing? | Chapter 3, Deep learning 16:12 Word Embedding and Word2Vec, Clearly Explained!!! 33:45 Why It Was Almost Impossible to Make the Blue LED 1:21:14 MIT: Machine Learning 6.036, Lecture 4: Logistic regression (Fall 2020) 22:17 Jonathan Blow on Deep Work: The Shape of a Problem Doesn't Start Anywhere Similar videos 37:20 MIT 6.S191 (2020): Convolutional Neural Networks 36:10 Convolutions in Image Processing | Week 1, lecture 6 | MIT 18.S191 Fall 2020 45:28 MIT 6.S191 (2020): Recurrent Neural Networks 10:47 Convolutional Neural Networks Explained (CNN Visualized) 1:04:48 Stanford CS230: Deep Learning | Autumn 2018 | Lecture 8 - Career Advice / Reading Research Papers 23:54 Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python) 51:57 Machine Learning Lecture 36 "Neural Networks / Deep Learning Continued" -Cornell CS4780 SP17 36:31 MIT 6.S191 (2019): Recurrent Neural Networks 36:25 MIT 6.S191 Lecture 3: Convolutional Neural Networks 25:37:26 PyTorch for Deep Learning & Machine Learning – Full Course 18:36 ml5.js: Training a Convolutional Neural Network for Image Classification 1:27:41 Deep Learning State of the Art (2020) 37:16:41 Deep Learning for Computer Vision with Python and TensorFlow – Complete Course 40:40 MIT 6.S191 (2020): Deep Generative Modeling 1:26:56 Interpretable Deep Learning - Deep Learning in Life Sciences - Lecture 05 (Spring 2021) 1:41:20 Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020 More results