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It is my graduation project. Aim of this project is recognizing different types of grocery products with using convolutional neural networks. Dataset is generated by myself, data augmentation techniques and deep learning methods are used in this work. In order to make it more user friendly, I created a web application to upload the images and sh…
A simple NumPy-based deep learning framework. Create and train neural networks easily, experiment with backpropagation, optimization, and explore the code to grasp the inner workings.
This repository includes many different environments collected from various sources like Udacity - Self Driving Course, Fast.ai, Deep learning with Tensorflow on Udemy etc. Each environment has its very own unique feature and can be used for very specific tasks in Machine Learning. Find the environment that suits you the best.
Some data preprocessing scripts to generate label mask from Labelbox and ImageJ annotations to use them to train semantic segmentation deep learning models
This tutorial provide a step-by-step pipeline to install an effective Python set-up optimized for deep learning for Ubuntu LTS, containing libraries to use efficiently the last versions of Tensorflow and Pytorch with the GPU and a comfortable environment of work with flexible and highly customizable IDE (VSCode) and environment manager (Virtuale…