Recent Posts
Building a Named Entity Recognition System with BERT
A hands-on guide to implementing a Named Entity Recognition system using BERT and the Hugging Face Transformers library. This tutorial walks through dataset preparation, token-label alignment, model training, and evaluation metrics for NER tasks.
The PyTorch Training Loop: Putting It All Together
Part 4 of the PyTorch introduction series. This final post explores how to implement an effective training loop, connecting your data, model, and computational graph to train robust neural networks.
Understanding PyTorch Computational Graphs and Autograd
Part 3 of the PyTorch introduction series. This post explores computational graphs in PyTorch, how they work, their role in backpropagation, and how autograd makes gradient computation seamless.
Building a PyTorch Model Class: A Step-by-Step Guide
Part 2 of the PyTorch introduction series. This post dives into creating and testing a custom model class in PyTorch, highlighting essential components, the forward pass, and key concepts for defining neural network architectures.
Getting Started with PyTorch: Understanding Dataset and DataLoader
Part 1 of a PyTorch introduction series. This post provides an in-depth look at PyTorch's Dataset and DataLoader classes, covering their usage and implementation for managing data efficiently in deep learning projects.
Streamlining Python Project Management with pyenv and poetry
A comprehensive guide to using pyenv and poetry for managing Python environments and dependencies. This post includes a step-by-step tutorial to set up and configure a new Python project efficiently.