MNIST inference example on NVIDIA Triton Inference Server
This project takes dataset from MNIST which contains (28 x 28) pixel images of 0-9 digits. I have trained a model which is an improvement of output softmax activation function. All the implemented layers are dense. Neural network contains 3 layers with 128,128 and 10 neurons respectively
This project is a Flask-based web application designed to train a machine learning model using TensorFlow, make predictions on payment data, and display the results using a web interface.
This GitHub repository contains a simple Python project for handwritten digit recognition using the MNIST dataset and TensorFlow.
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