A repo for baseline of graph pooling.
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Updated
Nov 14, 2022 - Python
E532
A repo for baseline of graph pooling.
This repository contains my code solutions to Udacity's coursework 'Intro to Deep Learning with PyTorch'.
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.
Tensor Flow In Practice Specialization (4 Courses) . Course offered by Coursera and deeplearning.ai. Taught by Laurence Moroney.
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.
Deep learning on class
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
4 CNN versions for result comparison that closely follow the VGG Net architecture, there is a baseline model, + dropout only model, + batch normalization only model, and finally a model with both dropout and batch norm integrated
Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)
Exoplanet Hunting in Deep Space.
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
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.
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