Ipython notebook for my work on creating a pretrained CNN model (ResNet-34) trained on the Fish Dataset from Kaggle
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Updated
Dec 2, 2021 - Jupyter Notebook
Ipython notebook for my work on creating a pretrained CNN model (ResNet-34) trained on the Fish Dataset from Kaggle
Course Material (Jupyter Notebooks) for Udacity's Deep Learning with PyTorch course
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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