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The project involves utilizing Generative Adversarial Networks (GANs) to generate fake MNIST images. GANs are a class of machine learning models consisting of two components: a generator and a discriminator., which are implemented here using PyTorch framework.

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deep-learning gan machine-learning python3 pytorch

gan-for-mnist's Introduction

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Hi there, I am Tajamul Bashir 👋

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  • ⚡ Fun fact: The first rule of programming- if it works, don’t touch it.🤓

About Me

  •   👨🏻‍💻 I am a Machine Learning and Artificial Intelligence Enthusiast
  •   🎓 Pursuing Undergraduate in CSE.
  •   🌱 Learning and exploring Deep Learning.

Tech Stack

  • 🌐   Python Cpp HTML5 CSS3

  • ⚙️   GitHub Tensorflow PyTorch OpenCV

  • 🔧   Visual Studio Code

    tajammulbasheer

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