neural net

N/A

110 Jonathan Richard Shewchuk 19 Convolutional Neural Networks CONVOLUTIONAL NEURAL NETWORKS (ConvNets; CNNs) [Convolutional neural nets drove a big resurgence of interest in neural nets starting in 2012. Often you’ll hear the buzzword deep learning, which refers to neural nets with many layers. Most image recognition networks are deep and convolutional. In 2018, the Association for Computing Machinery gave the Alan M. Turing Award to Geo↵ Hinton, Yann LeCun, and Yoshua Bengio for their work on deep neural networks.] Vision: inputs are…

related reading

• CS231n Deep Learning for Computer Visioncs231n.github.io
• Convolutional Neural Networks, Explained | Towards Data Sciencetowardsdatascience.com
• A Beginner's Guide To Understanding Convolutional Neural Networks – Adit Deshpande – Engineering at Forward | UCLA CS '19adeshpande3.github.io
• ImageNet Classification with Deep Convolutional Neural Networksproceedings.neurips.cc
• Neural networks and deep learningneuralnetworksanddeeplearning.com
• Zoom In: An Introduction to Circuitsdistill.pub
• A Beginner's Guide To Understanding Convolutional Neural Networks Part 2 – Adit Deshpande – Engineering at Forward | UCLA CS '19adeshpande3.github.io
• CS231n Deep Learning for Computer Visioncs231n.github.io
• Dense CNNsarxiv.org
• MNIST Demos on Yann LeCun's websiteyann.lecun.com
• Locally Scale-Invariant Convolutional NeuralNetworksarxiv.org
• NatureDeepReview.pdfcs.toronto.edu