Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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Updated
Nov 8, 2023 - Jupyter Notebook
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
LSTM and GRU in PyTorch
Experiments on MNIST dataset and federated training using Flower framework
Pytorch mnist example
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
End to End learning for Video Generation from Text
A resource-conscious neural network implementation for MCUs
Draw and classify digits (0-9) in a browser using machine learning
Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
A TensorFlow implementation of Capsule Network as described in the paper Dynamic Routing Between Capsules
A Web Application Built with Flask and Python that reads images containing numbers with the Help of Tensor-flow should recognize each digit from 0 to 9
Convolutional neural networks with Python 3
Wrote a neural network that uses fundamental DL algorithms to identify handwritten digits from MNIST dataset.
RNN classifier built with Keras to classify MNIST dataset
Predict handwritten digits with CoreML
Machine Learning MNIST Digits with a Neural Network in Excel
Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API
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