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Deep Learning Portfolio

A curated collection of Deep Learning projects by Ashwin Kotha.

Projects

Notebook Description
Reuters_News_Topic_Classification_RNN.ipynb Multi-class text classification on the Reuters dataset using SimpleRNN, LSTM, GRU, BiSimpleRNN, BiLSTM, and BiGRU architectures. Compares 6 RNN variants across 46 topic classes.
Reuters_Transformer_Text_Classification.ipynb Transformer Encoder-based text classification on the Reuters newswire dataset. Implements a custom multi-head attention architecture with stacked encoder blocks for 46-class classification.

Tech Stack

  • Python, TensorFlow / Keras
  • NumPy, Matplotlib, Seaborn, Scikit-learn

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Deep Learning assignments and projects covering neural networks, CNNs, NLP, and predictive modeling using TensorFlow/Keras and PyTorch.

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