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Learning

imageNet-Computer Vision Backbone
·1065 words·5 mins
ImageNet is more than just a dataset. The sheer scale of ImageNet, combined with its detailed labeling, made it essentially the backbone of Computer Vision.
Generative Adversarial Network
·753 words·4 mins
A neural network is like a highly sophisticated, multi-layered calculator that learns from data. It consists of numerous “neurons” (tiny calculators) connected in layers, with each layer performing a unique function to help the network make predictions or decisions.
Variational-Auto-Encoder
·729 words·4 mins
The beauty of VAEs lies in their ability to generate new samples by randomly sampling vectors from this known region and then passing them through the generator part of our model.
Auto-Encoder
·545 words·3 mins
An autoencoder begins its journey by compressing input data into a lower dimension. It then endeavors to reconstruct the original input from this compressed representation.