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
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
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.
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
Learning algorithms for the classification of handwritten digits.
Basic implementation for digit recognition Neural Network.
Simple MLP using only numpy. Personal Project.
This is an implementation of the LeNet-5 architecture on the Cifar10 and MNIST datasets.
Quick test to use font data to create training/testing data and train the model with ML.Net.
Repo containing basic and advanced GAN implementations.
Programmes presenting issues related to artificial intelligence and machine learning.
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