felipelodur/Bike-Sharing-Prediction-with-NeuralNet
Developed as coursework for Udacity "Deep Learning Fundamentals" Nanodegree
Implements a fully connected neural network from scratch using only NumPy, including sigmoid activation, forward/backward propagation, and gradient descent optimizationāno deep learning frameworks. Trained on daily bike rental data to perform regression prediction, with careful hyperparameter tuning (hidden units, learning rate, epochs) to balance accuracy and generalization while achieving sub-0.09 training loss and sub-0.18 validation loss.
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Dec 21, 2017
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