Andrew-NG-Notes VS DeepNeuralNetworksFromScratch

Compare Andrew-NG-Notes vs DeepNeuralNetworksFromScratch and see what are their differences.

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes. (by ashishpatel26)
andrewng andrew-ng andrew-ng-course andrew-ng-machine-learning Deep Learning neural-network deep-neural-networks reinforcement-learning Machine Learning Pandas Numpy ML dl Coursera coursera-machine-learning Data Science Python Pytorch neural-networks
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DeepNeuralNetworksFromScratch

Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API. (by MalayAgr)
Deep Learning deep-neural-networks neural-networks Artificial intelligence Python Numpy Coursera fully-connected-network Backpropagation convolutional-neural-networks
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Andrew-NG-Notes DeepNeuralNetworksFromScratch
1 1
2,266 8
- -
0.0 0.0
2 months ago over 1 year ago
Jupyter Notebook Python
- MIT License
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Andrew-NG-Notes

Posts with mentions or reviews of Andrew-NG-Notes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-18.

DeepNeuralNetworksFromScratch

Posts with mentions or reviews of DeepNeuralNetworksFromScratch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Andrew-NG-Notes and DeepNeuralNetworksFromScratch you can also consider the following projects:

Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

gdrl - Grokking Deep Reinforcement Learning

dl-4-tsc - Deep Learning for Time Series Classification

fsdl-text-recognizer-2022-labs - Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.

strategy-ml-nn - This example shows how to use neural networks for writing a trading system on stocks.

Convolution-From-Scratch - Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy

embedml - pytorch like machine learning framework from scratch

pyradox - State of the Art Neural Networks for Deep Learning

Andrew-NG-Notes vs Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera DeepNeuralNetworksFromScratch vs IntroDLPython Andrew-NG-Notes vs machine_learning_complete DeepNeuralNetworksFromScratch vs dnn_from_scratch Andrew-NG-Notes vs gdrl DeepNeuralNetworksFromScratch vs dl-4-tsc Andrew-NG-Notes vs fsdl-text-recognizer-2022-labs DeepNeuralNetworksFromScratch vs SincNet Andrew-NG-Notes vs strategy-ml-nn DeepNeuralNetworksFromScratch vs Convolution-From-Scratch Andrew-NG-Notes vs embedml DeepNeuralNetworksFromScratch vs pyradox