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Series
In this series, I will be documenting my learning journey on the topic of Computer Vision. As well as along side I will be teaching you about it.
✨ Good day, readers! ✨ This blog is the first in a series about computer vision. I’ve started learning computer vision and will use this medium to keep up with what I’ve learned and researched on the subject. 💭 This blog was inspired by another Jov...
Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and classification. ConvNets have been successful in identifying faces, objects and traffic signs ap...
🖼 Visual Representation of CNN If you have not yet read the preceding part of this blog, go here to do so so that you can better comprehend the topics presented in this blog. — Understanding Convolution Neural Networks (Part 1) We studied a few foun...
The convolutional neural network (CNN) architecture known as AlexNet was created by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, who served as Krizhevsky’s PhD advisor. Billionaire investor and entrepreneur Peter Thiel’s favourite contrarian...
In their 2015 publication “Deep Residual Learning for Image Recognition,” Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun created a particular kind of neural network known as ResNet or Residual Network. Every consecutive winning architecture us...
A Deep Dive into Google’s Neural Network Technology
