PyTorch Autograd: Automatic Differentiation Explained
Author(s): Alok Choudhary Originally published on Towards AI. PyTorch Autograd: Automatic Differentiation Explained PyTorch Autograd is the backbone of PyTorch’s deep learning ecosystem, providing automatic differentiation for all tensor operations. This feature eliminates the need for manually deriving gradients, which is essential …
PyTorch Dataset and DataLoader: Theory, Concepts, and Workflow
Author(s): Alok Choudhary Originally published on Towards AI. PyTorch Dataset and DataLoader: Theory, Concepts, and Workflow Efficient data handling is the backbone of deep learning. In PyTorch, the Dataset and DataLoader classes provide a structured way to load, preprocess, and iterate over …
PyTorch ANN Development: Building, Optimizing, and Hyperparameter Tuning
Author(s): Alok Choudhary Originally published on Towards AI. PyTorch ANN Development: Building, Optimizing, and Hyperparameter Tuning Artificial Neural Networks (ANNs) are the foundation of modern deep learning. PyTorch makes it straightforward to design, train, and improve ANNs, while also offering flexibility to …
LSTMs with PyTorch with an Example Application
Author(s): Alok Choudhary Originally published on Towards AI. No subtitle available Long Short-Term Memory networks (LSTMs) are one of the most important architectures in deep learning for handling sequential data. Whether it’s language, time series, or speech, LSTMs solve a fundamental problem …
Unsupervised Machine Learning: A Complete Guide
Author(s): Alok Choudhary Originally published on Towards AI. Unsupervised Machine Learning: A Complete Guide Machine Learning can be broadly divided into two categories: supervised learning and unsupervised learning. While supervised learning deals with labeled data, where the goal is to predict an …
LangChain Explained: A Beginner-Friendly Guide to Building LLM Applications
Author(s): Alok Choudhary Originally published on Towards AI. LangChain Explained: A Beginner-Friendly Guide to Building LLM Applications Generative AI has grown far beyond being just a buzzword. Today, Large Language Models (LLMs) like GPT, Claude, and LLaMA are powering applications ranging from …
Anomaly Detection: A Comprehensive Guide
Author(s): Alok Choudhary Originally published on Towards AI. Anomaly Detection: A Comprehensive Guide Anomaly detection is one of those concepts in machine learning that looks deceptively simple but has a huge impact in real-world applications — from fraud prevention to equipment maintenance, …