A from-scratch implementation of a flexible neural network using only NumPy. Features customizable layers, activations, and optimizers.
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Updated
Sep 4, 2024 - Jupyter Notebook
A from-scratch implementation of a flexible neural network using only NumPy. Features customizable layers, activations, and optimizers.
A Keras implementation of the MobileViT architectures, built from scratch using TensorFlow and Python.
A Python "package" for neural networks
Neural Network written from Scratch without libraries like tensorflow (documented)
This is the code for a fully connected neural network. The code is written from scratch using Numpy, without using any ready-made deep learning library. In this, classification is done on the MNIST dataset. It is generalized to include various options for activation functions, loss functions, types of regularization, and output activation types.
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.
Implementing neural network backpropagation from scratch with numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
I have implemented a Multilayer Perceptron from scratch, including the backpropagation algorithm for learning.
This repository contains the assignments of Artificial Intelligence course at Sharif University of Technology.
codes.
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only NumPy and no TensorFlow, Keras, or PyTorch.
My Implementation of well known DL architectures using PyTorch
Simple neural network with backpropagation training
Ben Gurion University "Deep Learning (372.2.6101)" course assignments & solutions
An educational neural network visualization tool. Includes 2D input / output, heatmap, 3d output, and error graphing.
An educational neural network library written using python, numpy, and minimal scipy functions
Implemented a Neural Network from scratch using NumPy. Deep Neural Network Course Project
Step by Step Math Behind Multilayer Perceptron Neural Networks Backpropagation with Manual Code Python and Excel For Detecting Potential Obesity
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