MLP from Scratch: Fashion-MNIST
2024-01-11
Based on the Colab Notebook, explore MLP building from scratch with Python, covering data preprocessing, neural network layers, backpropagation, and hyperparameter tuning.
I write about things I’m learning and things I’m building.
All of my long-form thoughts on programming, machine learning, infrastructure, and more, collected in chronological order.
Protein Secondary Structure Prediction
2024-01-10
This project focuses on predicting alpha-helix secondary structures in amino acids using a RNN with LSTM units. The challenge lies in handling FASTA format sequences, with constraints on model size and dependencies. Utilizing deep learning and NLP techniques, the model, trained in Google Colab and inference implemented in NumPy, demonstrates promising accuracy in protein structure prediction.
Step by Step: Identifying High-Risk Tumour Regions in Sarcoma
2023-12-01
A chronicle of my capstone project. Sharing insights into medical image processing, the challenges of learning with limited data, and the process of evaluating these methods alongside radiomics approaches.