Course Material (Jupyter Notebooks) for Udacity's Deep Learning with PyTorch course
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Updated
Dec 11, 2019 - Jupyter Notebook
Course Material (Jupyter Notebooks) for Udacity's Deep Learning with PyTorch course
Ipython notebook for my work on creating a pretrained CNN model (ResNet-34) trained on the Fish Dataset from Kaggle
Exploration of different audio features and CNN-based architectures for building an effective Speech Emotion Recognition (SER) system. The goal is to improve the accuracy of detecting emotions embedded in speech signals. The repository contains code, notebook, and detailed explanations of the experiments conducted.
Pytorch Tutorial Notebooks
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