This tutorial shows how to use convolutional neural networks for sentence classification in Pytorch
This blog post is targeted towards people who have experience with machine learning, and want to get a better intuition on the different objective functions used to train neural networks
Pruning is an important tool to make neural networks more economical. Read on to find out how it works
Artificial neural network "Neural network" redirects here. For networks of living neurons, see Biological neural network . For the journal, see Neural Networks (journal) . For the evolutionary concept, see Neutral network (evolution) . "Neural computation" redirects here. For the journal, see Neural Computation (journal) . Machine learning and data mining Problems Classification Clustering Regression Anomaly detection Association rules Reinforcement learning Structured prediction Feature engineering Feature
### More fun with Spiking Neural Networks and JAX By Romilly Cocking - October 13, 2021 I'm currently exploring Spiking Neural Networks. SNNs (Spiking Neural Networks) try to model the brain more accurately than most of the Artificial Neural Networks used in Deep Learning. There are some SNN implementations available in TensorFlow and PyTorch but I'm keen to explore them using pure Python. I find that Python code gives me confidence in my understanding. But there's a problem. SNNs need a lot of comput
Guide to Neural Networks vs Deep Learning.Here we have discussed head to head comparison, key difference along with infographics
Last month, a video by 3Blue1Brown has been trending on YouTube, accumulating already over a quarter of a million views. It only lasts 10 minutes but provides a very good and intuitive explanation of the inner workings of Neural Networks (NN): https://www.youtube.com/watch?v=aircAruvnKk The Machine Learning & Deep Learning book I wrote about recently provides a more substantial explanation of
The best Neural networks and fuzzy systems Books! Buy your next read here
Neural networks are the engine behind virtually every AI breakthrough of the past decade. Here's how they work, why they work, and what makes them so powerful — explained without the math
Dr. Paul Werbos called Minsky’s involvement in artificial neural networks “a soap opera you wouldn’t believe