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A Comprehensive Tutorial to learn Convolutional Neural Networks from Scratch (deeplearning.ai Course #4)
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A Practical Guide to Object Detection using the Popular YOLO Framework – Part III (with Python codes)
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Improving Neural Networks – Hyperparameter Tuning, Regularization, and More (deeplearning.ai Course #2)
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A Practical Implementation of the Faster R-CNN Algorithm for Object Detection (Part 2 – with Python codes)
Introduction Which algorithm do you use for object detection tasks? I have tried out quite a few of them in my quest to build …
This is a comprehensive introduction to the world of deep learning and neural networks. These are essentially course notes from deeplearning.ai’s course #1.
Object detection is seeing widespread adoption in today’s world in diverse applications. In part 1 of this series, we’ll learn the basics of the technique.
Graph theory has been around for decades. This article looks at it’s fascinating history and delves deeper into the wonderful world of graphs.
We’ve seen plenty of image classification examples, but what about videos? In this article, we will show you how to use deep learning with video data.
Dimensionality reduction Techniques : PCA, Factor Analysis, ICA, t-SNE, Random Forest, ISOMAP, UMAP, Forward and Backward feature selection.