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1. Reinforcement-Learning-Problems Reinforcement-Learning-Problems Public

   In this repository I try to solve small Reinforcement Learning problems using NumPy

   Python

2. Fully-Connected-Neural-Network Fully-Connected-Neural-Network Public

   Implementation of a Fully Connected Neural Network using NumPy. The Neural Network will entirely be user defined limited to the specific activation functions and optimizers available.

   Python

3. Self-Organizing-Maps Self-Organizing-Maps Public

   In this repository I have used NumPy to create Kohonen Self Organizing Maps. It currently supports 2D maps only and distance function 'Euclidean'.

   Python

4. Deep-Neural-Nets-with-TensorFlow Deep-Neural-Nets-with-TensorFlow Public

   In this repository I have used TensorFlow to create various user defined Neural Networks like Fully Connected Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks

   Python

5. Adaptive-Dropout Adaptive-Dropout Public

   In this repository I try to recreate the Adaptive Dropout algorithm for Neural Nets.

   Jupyter Notebook

6. Memristor-Simulation-Using-Python Memristor-Simulation-Using-Python Public

   In this repository I have simulated Memristors using Python3 and also created GUI for easy use by researchers to visualise the functioning of a Memristor.

   Python 19 7