×
Home Discussions Write at Opengenus IQ
×
  • Track your progress
  • Deep Learning Projects
  • Python Projects
  • Join our Internship 🎓
  • RANDOM
  • 100+ Graph Algorithms
  • 100+ DP Problems
  • 50+ Linked List Problems
  • 50+ Array Problems
  • One Liner
  • 50+ Binary Tree problems
  • Home
  • Rust Projects
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
OpenGenus IQ © 2023 All rights reserved â„¢ [email: team@opengenus.org]
Top Posts LinkedIn Twitter