Various neural network implementations
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Updated
Nov 2, 2017 - Python
Various neural network implementations
A deep reinforcement learning agent for Atari games, using keras and tensorflow
This is the Keras implementation of Cyclegan(junyanz)
Implementation of AlphaZero algorithm
A simple implementation of a stacked LSTM using TensorFlow and Keras
"Key-Agricultural Commodities Daily Market Price Predictor" is a Deep Neural Networks Project that predicts minimum, maximum and modal prices of 12 agricultural commodities that are grown in India.
Re-implementation of SSD in Keras and other structures for Object Detection
Traffic Light Control in Non-stationary Environments based on Multi Agent Machine Learning
Creating simple ANN with the help of Keras library for binary-classification
This project is the first step to deep learning implemented by training convolutional neural network using MNIST data set.
Modeling stuck-at faults for RRAM inference on popular neural networks after quantization
Docker template for evaluating Tensorflow.Keras ML Models
Face Mask Detector Model Analysis
CNN model for solving handwritten digit recognition problem on MNIST image dataset using keras and TensorFlow as backend, 99.2% accuracy attained.
simple chatbot with deep learning using pyhton keras
Machine learning program that detects handwritten digits trained using MNIST dataset
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