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Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%
activation-functions batchnorm cnn cross-entropy-loss deep-learning dropout feedforward-neural-network neural-network neural-networks-from-scratch numpy

deep-learning-from-scratch's Introduction

Hi there, I'm Arkaniva !! ๐Ÿ‘‹

Student, Innovation Enthusiast, Tech Geek, and a Bioengineer!!

  • ๐ŸŽ“ Currently pursuing my master in Medical Engineering
  • ๐Ÿ’ป Looking for part-time opportunities
  • ๐Ÿ€ Iโ€™m currently trying to explore the multidisplinary nature of Bioengineering and learn as much as I can ๐Ÿ˜„
  • ๐Ÿฅ… 2023 Goals: Get into the domain of 3D programming and XR development. ๐Ÿ“ท
  • โšก Looking to collaborate with others in creating something exhilarating
  • ๐Ÿš† I love to travel. ๐Ÿ—ป Mountains are always my first choice.
  • ๐Ÿ’ช Fitness freak: Trained martial artist and swimmer
  • Currently working on: autoBayesian

arkanivasarkar

Languages and Tools:

Python

MATLAB

R

Tensorflow

Solidworks

Ansys

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