Data Augmentation in Deep Learning | Hindi/Urdu (1/2)
Channel: Codanics
Date: 12/01/2023

#datascience 
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Video Description:
In this video, we will be discussing data augmentation in deep learning in Hindi/Urdu language. Data augmentation is a crucial technique in deep learning that helps to improve the performance of a neural network by increasing the size of the training dataset. It involves applying various transformations to the existing training data to generate new, synthetic samples. This helps to make the model more robust and able to generalize better to unseen data. We will be discussing various techniques of data augmentation, such as rotating, scaling, and flipping images, and how they can be implemented in popular deep learning frameworks like TensorFlow and PyTorch. This video will be helpful for anyone looking to understand the concept of data augmentation and how it can be applied to their deep learning projects.
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