MNIST testing scripts for Tensorflow for the paper about Automatic Differentiation in Simulink
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Updated
Dec 29, 2021 - Python
MNIST testing scripts for Tensorflow for the paper about Automatic Differentiation in Simulink
This contains the codes of deep neural network on different datasets.
A simple python implementation of a Neural Network from scratch
MNIST- Machine Learning with tensorflow
Hand Written Web Application for Digit Recognition Using Tensorflow and Python
Simple GAN for the MNIST Dataset
C++/CUDA libary for neural networks
Deep Neural Network implementation for recognizing digit using MNIST data set and Tensorflow
Tutorials on TensorFlow with Keras
Built MLP with ReLU and Adam optimization with 2 layers, 3 layers and 5 layers and observed how it works.
Image Denoising using autoencoders in keras and python
mnist dataset for hand written digit recognition
Domain Adaptation for digits classification using Deep Reconstruction-Classification Network
character recognition studies from beginner learning level to DL training model
A Simple Conditional Variation Autoencoder
Feed-forward neural network from scratch (the only libraries I'm using are java libraries, and mostly used for reading training data) using Java. The purpose of project is to classify images as digits (numbers from 0 - 9) based on the way they look to the program using deep learning, with the help of the MNIST dataset
Learning algorithms for the classification of handwritten digits.
Basic implementation for digit recognition Neural Network.
Artificial Intelligence, Deep Learning, and Machine Learning projects utilizing Keras, TensorFlow, MNIST Dataset, MatPlotLib, and NumPy.
Simple MLP using only numpy. Personal Project.
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