My research interests lies in the field of Machine Learning and Deep Learning. Possess an enthusiasm for learning new skills and technologies.
Unlock the power of computer vision in videos with this guide! Build a Python video classification model, connecting image and video data.
The ultimate guide to K-means clustering algorithm - definition, concepts, methods, applications, and challenges, along with Python code. Learn Now!
Real-time object detection is the next big thing in computer vision and deep learning. Learn how to perform real-time object detection using SlimYOLOv3.
Image segmentation. In this article learn about Mask R-CNN framework for image segmentation and implementation of mask r-cnn in python.
Explore Hierarchical Clustering: Types and Applications. Learn Agglomerative & Divisive methods. Understand clustering in wholesale customer segmentation.
Explore the multi-label image classification in Python! Dive into computer vision with deep learning, CNNs, and transfer learning.
Image segmentation tutorial to learn about types of image segmentation and its techniques. A step by step guide for how to implement them in Python.
Discover the power of deep learning frameworks in 2024. Uncover their potential and learn how they can drive business growth. Don’t miss out!
Crowd counting has been an inexact science for decades. Learn about crowd counting algorithms in deep learning and build crowd counting models using python.
This article is inspired by Deeplearning.ai course where we learn to solve sequence modeling problems and building attention models.