Collection of notebooks I made on deep learning topics.
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Updated
Nov 15, 2018 - Jupyter Notebook
Collection of notebooks I made on deep learning topics.
Notes and Jupyter notebooks exploring deep learning and Tensorflow framework
Repository contains my Jupyter Notebook files (ran either in VSCode using the Jupyter Notebook extension, either Notebook or Lab through Anaconda, or Google Colab) for a Convolutional Neural Network (CNN) that classifies Dogs, Cats, and Pandas, for EEL6812 - Advanced Topics in Neural Networks (Deep Learning with Python) course, PRJ02
Several notebooks that cover various ML concepts such LR, CNN's, RNN's, & more!
This repository contains a Jupyter Notebook file equipped with code for identifying the position of digits in a Sudoku puzzle and solving it. The notebook implements algorithms for Sudoku puzzle solving, offering a practical tool for enthusiasts and learners alike to explore and understand Sudoku solving techniques. 2-2 METHODS FOR BOTH TASKS.
CNN applied on Cifar-10 database.
This project implements deep learning models for classifying images. Using TensorFlow and Keras, it includes scripts and notebooks for training and testing neural networks on various datasets to achieve high accuracy in image categorization.
The notebook in the repo can be considered as a tutorial for building a CNN using pytorch.
Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow
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.
App that detects severity of Diabetic Retinopathy using TensorflowLite model trained from scratch in Google Colab notebook.
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
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