Neural Networks from Scratch

Building neural networks from scratch in Python introduction. Neural Networks from Scratch book: https://nnfs.io Playlist for this series.

Building neural networks from scratch in Python introduction.

Neural Networks from Scratch book: https://nnfs.io

Playlist for this series: https://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3

Python 3 basics: https://pythonprogramming.net/introduction-learn-python-3-tutorials/ Intermediate Python (w/ OOP):https://pythonprogramming.net/introduction-intermediate-python-tutorial/

Mug link for fellow mug aficionados: https://www.amazon.com/Paladone-Brothers-Question-Ceramic-Coffee/dp/B06WD76D1Q/ref=as_li_ss_tl?dchild=1&keywords=mario+coffee+mug&qid=1586616955&sr=8-16&linkCode=sl1&tag=pythonpr-20&linkId=d9b7cfde277eb4b7e0f7f87c420b1f9c&language=en_US

neural networks

Neural networks, as their name implies, are computer algorithms modeled after networks of neurons in the human brain. Learn more about neural networks from Algorithmia.

Recurrent neural networks, also known as RNNs, are a class of neural networks that allow previous outputs to be used as inputs while having hidden states.

The purpose of this project is to build and evaluate Recurrent Neural Networks(RNNs) for sentence-level classification tasks. Let's understand about recurrent neural networks for multilabel text classification tasks.

Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains.

Convolutional Neural Network: How is it different from the other networks? What’s so unique about CNNs and what does convolution really do? This is a math-free introduction to the wonders of CNNs.