An Artificial Neural Network (ANN) built using PyTorch to classify images in the Fashion MNIST dataset, utilizing GPU support for improved training performance.
Digit Recognition with a Neural Network 🤖✍️ Exploring handwritten digits using MNIST! 🖐️🖤 Comparison of a from-scratch NumPy neural network 🧠 and basic prediction methods 🔍📊 Learn, visualize and see how forward & backward propagation drives model learning! 🚀📈
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
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