A handwritten digits classifier of the MNIST dataset using PyTorch neural networks and Jupyter Notebook.

Exercise notebooks for COFI winter school on QML

Digit recognition neural network

A jupyter notebook containing code to train a model on the MNIST dataset as well as a Flask web application that allows users draw a number into a canvas and submit it to the model with a response prediction from the model. Final year Software Development Project for Emerging Technologies.

This notebook, which is part of the EPFL's Visual Intelligence course assignments, implements a vision transformer for classification as well as a GPT model for image generation.

Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook

This repository contains simple usage examples for basic machine learning libraries. These notebooks are tested in Colab.

Notes and Jupyter notebooks exploring deep learning and Tensorflow framework

In this repository we explore the resources of convolutional neural networks (CNN) to develop a model for handwritting images classification unsing Python and TensorFlow.

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

Notebook for practicing cVAE model using MNIST dataset

How to code a neural network from zero - Jupyter Notebook for Medium article

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

This Repository contain an IPython notebook of an example implementation of conditional Deep Convolutional Generative Adversarial Networks or cDCGAN or DC cGAN using Tensorflow.Keras Funtional API.

Built from scratch SVM, Kernel Perceptron and Neural Network implemented to recognize handwritten digits from the mnist dataset. Includes jupyter notebook of code, mnist handwritten digit data and a PDF of the code & results.

Neural Network ConsoleでMNISTのを学習するサンプルです。MNISTデータセットダウンロード(Jupyter Notebook)、学習・モデル構造自動探索(Neural Network Console)、ONNX推論(Jupyter Notebook)を含みます

Stores the basic Deep Learning models that I've worked on and learned from using Kaggle, Google Colab and Jupyter Notebook

A Collection of Jupyter Notebooks with Deep Learning Models created using Pytorch for Computer Vision (Image Classification) problems trained on GPU.

A collection of Jupyter notebooks containing various MNIST digit and fashion item classification implementations using fully-connected and convolutional neural networks (CNNs) built with TensorFlow and Keras. 2020.

Some coding stuff from various machine learning books