Topic: "mnist-digits-classification"
antonio-f/MNIST-digits-classification-with-TF-Linear-Model-and-MLP
Code from Coursera Advanced Machine Learning specialization - Intro to Deep Learning - week 2.
Language: Jupyter Notebook - Size: 101 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 6 - Forks: 10
AnkitaMungalpara/Dockerized-training-evaluation-inference-with-PyTorch
This repository provides a Docker Compose configuration for training, evaluating, and inferring on the MNIST Hogwild dataset with PyTorch. It simplifies the workflow by integrating three services: train, evaluate, and infer, enabling an efficient and reproducible machine learning environment.
Language: Python - Size: 423 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1
aka-vm/Hello-CV
This repository performs Computer-Vision tasks on multiple Image Datasets using CNN based Networks.
Language: Jupyter Notebook - Size: 69.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
marzekan/Digit-classifier
Feedforward backpropagation neural network classifier for MNIST digit datatset
Language: C++ - Size: 7.77 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
AnkitaMungalpara/dockerized-mnist-classification-pytorch
This repository codebase develops a CNN for MNIST dataset digit classification using PyTorch, fully containerized with Docker for effortless setup and environment consistency. It supports training from scratch, resuming from checkpoints, and evaluation. The Docker setup ensures easy reproducibility across different machines.
Language: Python - Size: 23.4 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
mixed-farming/MNIST-digit-classification
Recognizing handwritten digits of the MNIST dataset
Language: Jupyter Notebook - Size: 853 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
