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Built a Deep Learning model of Convolution Neural Network algorithm from scratch for the Classification task on the SVHN dataset. Trained the model using SGD (Stochastic Gradient Descent) optimizer with varied learning rates and epochs. Used the model to train on the training dataset and achieved a 96.25% test accuracy.
saitejavishalj/Classification-Using-Neural-Networks-and-Deep-Learning-SVHN-Dataset
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Built a Deep Learning model of Convolution Neural Network algorithm from scratch for the Classification task on the SVHN dataset. Trained the model using SGD (Stochastic Gradient Descent) optimizer with varied learning rates and epochs. Used the model to train on the training dataset and achieved a 96.25% test accuracy.
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