A repo for baseline of graph pooling.

This repository contains my code solutions to Udacity's coursework 'Intro to Deep Learning with PyTorch'.

Deep learning on class

Submission atau Proyek Akhir yang dilakukan ini bertujuan untuk melakukan klasifikasi gambar tingkat lanjut dari kelas Belajar Penerapan Data Science yang diberikan oleh Dicoding dan IDCamp.

A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. This repository contains the code for CNN with a categorical classification dataset.

Tensor Flow In Practice Specialization (4 Courses) . Course offered by Coursera and deeplearning.ai. Taught by Laurence Moroney.

Content: Structure of CNN, Convolutional layer, Pooling layer, Fully connected layer, Dense layer, output, Image classification, Creating, compiling and training the model on epochs, testing the model on gradio

Exoplanet Hunting in Deep Space.

Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)

This project implements the classical LeNet-5 CNN for MNIST digit classification using PyTorch. It covers a complete pipeline from data preprocessing to deployment. The model achieves ~98.8% test accuracy, showing the strong effectiveness of early CNN architectures for image classification.

image classification task where we use different deep learning models from scratch like vgg16,cnn,tramsformers, and using the initial weights to try getting the best accuracy on kaggle competition

A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.