From-scratch implementation of a fully-connected neural network for MNIST digit recognition using only NumPy and Tkinter.
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Updated
Aug 19, 2025 - Python
From-scratch implementation of a fully-connected neural network for MNIST digit recognition using only NumPy and Tkinter.
A comprehensive collection of foundational Deep Learning projects and experiments, covering manual implementation of the Perceptron and Backpropagation (NumPy) to advanced applications like MLP/CNN image classifiers and LSTM time-series prediction (Keras/TensorFlow).
Neural network framework implemented from "scratch" with Python and Numpy for matrix operations
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
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