Understanding Convolutional Neural Networks through Visualizations in PyTorch
Explanation of how #CNN works
Link: https://towardsdatascience.com/understanding-convolutional-neural-networks-through-visualizations-in-pytorch-b5444de08b91
#PyTorch #nn #DL
Explanation of how #CNN works
Link: https://towardsdatascience.com/understanding-convolutional-neural-networks-through-visualizations-in-pytorch-b5444de08b91
#PyTorch #nn #DL
Towards Data Science
Understanding Convolutional Neural Networks through Visualizations in PyTorch
Getting down to the nitty-gritty of CNNs
Use Machine Learning to filter messages in the browser
Article on filtering messages during #Twitch streaming with #tensorflow.
Link: https://dev.to/embiem/use-machine-learning-to-filter-messages-in-the-browser-4i19
#DL #NN #NLP #tensorflowjs
Article on filtering messages during #Twitch streaming with #tensorflow.
Link: https://dev.to/embiem/use-machine-learning-to-filter-messages-in-the-browser-4i19
#DL #NN #NLP #tensorflowjs
DEV Community
Use Machine Learning to filter messages in the browser
Use an Artifical Neural Network to classify messages as "spam" or "no spam"
Neural Networks seem to follow a puzzlingly simple strategy to classify images
Interesting article on how actually #NN see images and what helps to distinct different classes.
Link: https://medium.com/bethgelab/neural-networks-seem-to-follow-a-puzzlingly-simple-strategy-to-classify-images-f4229317261f
#BagNet #ResNet #Dl #CV
Interesting article on how actually #NN see images and what helps to distinct different classes.
Link: https://medium.com/bethgelab/neural-networks-seem-to-follow-a-puzzlingly-simple-strategy-to-classify-images-f4229317261f
#BagNet #ResNet #Dl #CV
Data Science by ODS.ai 🦜
Neural networks #architecture #cheatsheet #nn
One of the most complete lists of #NN types.
Link: http://www.asimovinstitute.org/neural-network-zoo/
Link: http://www.asimovinstitute.org/neural-network-zoo/
The Asimov Institute
The Neural Network Zoo - The Asimov Institute
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat…
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
A deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). #nn achieves an #AUC of 0.895 in predicting whether there is a cancer in the breast, when tested on the screening population.
Link: https://arxiv.org/abs/1903.08297
#cv #dl #cancer #objectdetection
A deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). #nn achieves an #AUC of 0.895 in predicting whether there is a cancer in the breast, when tested on the screening population.
Link: https://arxiv.org/abs/1903.08297
#cv #dl #cancer #objectdetection
A Recipe for Training Neural Networks by Andrej Karpathy
New article written by Andrej Karpathy distilling a bunch of useful heuristics for training neural nets. The post is full of real-world knowledge and how-to details that are not taught in books and often take endless hours to learn the hard way.
Link: https://karpathy.github.io/2019/04/25/recipe/
#tipsandtricks #karpathy #tutorial #nn #ml #dl
New article written by Andrej Karpathy distilling a bunch of useful heuristics for training neural nets. The post is full of real-world knowledge and how-to details that are not taught in books and often take endless hours to learn the hard way.
Link: https://karpathy.github.io/2019/04/25/recipe/
#tipsandtricks #karpathy #tutorial #nn #ml #dl
karpathy.github.io
A Recipe for Training Neural Networks
Musings of a Computer Scientist.
The lottery ticket hypothesis: finding sparse, trainable neural networks
Best paper award at #ICLR2019 main idea: dense, randomly-initialized, networks contain sparse subnetworks that trained in isolation reach test accuracy comparable to the original network. Thus compressing the original network up to 10% its original size.
Paper: https://arxiv.org/pdf/1803.03635.pdf
#nn #research
Best paper award at #ICLR2019 main idea: dense, randomly-initialized, networks contain sparse subnetworks that trained in isolation reach test accuracy comparable to the original network. Thus compressing the original network up to 10% its original size.
Paper: https://arxiv.org/pdf/1803.03635.pdf
#nn #research
Yet another good intro into difference between artificial neural network and biological one.
If you're getting started in Data Science, you need to start with the basic building building block of Neural Networks - a Perceptron. To understand what it is, there's this good link to get started with.
Link: https://towardsdatascience.com/the-differences-between-artificial-and-biological-neural-networks-a8b46db828b7
#nn #entrylevel #beginner
If you're getting started in Data Science, you need to start with the basic building building block of Neural Networks - a Perceptron. To understand what it is, there's this good link to get started with.
Link: https://towardsdatascience.com/the-differences-between-artificial-and-biological-neural-networks-a8b46db828b7
#nn #entrylevel #beginner
Medium
The differences between Artificial and Biological Neural Networks
They differ in size, topology, speed, fault-tolerance, power consumption, the way signals are sent and received and the way they learn.
🥇Parameter optimization in neural networks.
Play with three interactive visualizations and develop your intuition for optimizing model parameters.
Link: https://www.deeplearning.ai/ai-notes/optimization/
#interactive #demo #optimization #parameteroptimization #novice #entrylevel #beginner #goldcontent #nn #neuralnetwork
Play with three interactive visualizations and develop your intuition for optimizing model parameters.
Link: https://www.deeplearning.ai/ai-notes/optimization/
#interactive #demo #optimization #parameteroptimization #novice #entrylevel #beginner #goldcontent #nn #neuralnetwork