DeepNeuralNetworksFromScratch VS Convolution-From-Scratch

Compare DeepNeuralNetworksFromScratch vs Convolution-From-Scratch and see what are their differences.

DeepNeuralNetworksFromScratch

Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API. (by MalayAgr)

Convolution-From-Scratch

Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy (by detkov)
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DeepNeuralNetworksFromScratch Convolution-From-Scratch
1 1
8 35
- -
0.0 0.0
over 1 year ago over 3 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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DeepNeuralNetworksFromScratch

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

Convolution-From-Scratch

Posts with mentions or reviews of Convolution-From-Scratch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-05.

What are some alternatives?

When comparing DeepNeuralNetworksFromScratch and Convolution-From-Scratch you can also consider the following projects:

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

image-convolution-from-scratch - used simple opencv and numpy to check convolution operation on a Greyscale Image

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

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

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

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

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

pyradox - State of the Art Neural Networks for Deep Learning