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“Generative Adversarial Networks is the most interesting idea in the last 10 years in Machine Learning.”Yann LeCun, Director of AI Research at Facebook


Ever heard of Fake it till you make it!!!”?

Generative Deep Learning models do exactly that but with the help of mathematics, statistics and data. It works by learning the latent variables which are the variables responsible for the generation of the input data and then using this latent space to generate synthetic data.

Basically, Generative modeling is an unsupervised learning task in Deep learning that involves for a given input, model learning the probability…

Pytorch is an open-source machine learning library developed by Facebook’s AI Research Lab used for various applications like deep learning, natural language processing, and computer vision.

Deep learning software based on PyTorch includes Tesla Autopilot, Uber’s Pyro, HuggingFace’s Transformers, PyTorch Lightning, and Catalyst.

PyTorch comes with two high-level features:

  1. Tensor computation (similar to NumPy) with substantial acceleration provided by Graphics Processing Units (GPU)
  2. Automated differentiation for building and training deep neural networks.

PyTorch Tensor is conceptually similar to NumPy, but with GPU functionality to accelerate the numeric operations. …

Rupsha Kar

Data Science Enthusiast | MBA | Computer Science Engineer

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