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Harshit Kumar

Harshit Kumar

Finding patterns...

Delhi, India •
2 posts •
Machine Learning (ML)

Data augmentation Techniques

Data augmentation is the technique of increasing the size of data used for training a model. Some of position augmentation includes scaling, cropping, flipping, padding, rotation, translation, affine transformation. Color augmentation includes brightness, contrast, saturation and hue.

Harshit Kumar Harshit Kumar
Machine Learning (ML)

Autoencoder

An autoencoder is a neural network that learns data representations in an unsupervised manner. Its structure consists of Encoder, which learn the compact representation of input data, and Decoder, which decompresses it to reconstruct the input data.

Harshit Kumar Harshit Kumar
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