Deep Learning

AlexNet is a Image Classification model released in 2012 and the first model to use CNN based Deep Neural Network.

U-Net is an image segmentation model that features a U-shaped architecture, comprising two main parts: an encoder and decoder.

RetinaNet is a single-stage object detector that uses Focal Loss and two task-specific sub-networks for object detection.

Explore the decision tree algorithm and enhance your Python skills with step-by-step instructions in this comprehensive guide.

Pandas is a free and open-source Python library for data manipulation and analysis. It excels at working with structured data.

Vision Language Models merge the capabilities of natural language processing (NLP) and computer vision for applications across industries.

Model drift can degrade a model's performance. Learn about the differences between concept drift vs data drift and mitigation strategies.

Multispectral imaging captures light across a broad range of spectral bands, extending beyond what the human eye can see

Knowledge Graph is a knowledge base that uses graph data structure to store and operate on the data. It powers applications such as Google

MLflow is an open-source platform that helps streamline the ML process and helps solve incurred challenges with model experimentation.

Get started with Streamlit, an open-source framework for building with machine learning and computer vision.

Learn the ins and outs of Kaggle, including finding useful datasets for ML projects and partaking in competitions.