AnasBrital98/CNN-From-Scratch
In this repository you will find everything you need to know about Convolutional Neural Network, and how to implement the most famous CNN architectures in both Keras and PyTorch. (I'm working on implementing those Architectures using MxNet and Caffe)
This project helps machine learning practitioners understand and implement Convolutional Neural Networks (CNNs) for image processing tasks. It takes an image as input and applies various layers (convolutional, activation, pooling, fully connected) to extract features and prepare it for tasks like image classification. This is ideal for those building computer vision models and want to grasp the underlying mechanisms.
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Use this if you are a machine learning engineer, data scientist, or researcher looking to deeply understand how CNNs process image data and want practical examples using Keras and PyTorch.
Not ideal if you are looking for a plug-and-play solution for image classification without needing to understand the internal workings of CNNs.
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Oct 02, 2021
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