A repo for baseline of graph pooling.
This repository contains my code solutions to Udacity's coursework 'Intro to Deep Learning with PyTorch'.
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.
Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)
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
Exoplanet Hunting in Deep Space.
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.
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
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