The VGG16 and VGG19 networks in caffe with jupyter notebook

This repository contains an ipython notebook which implements Convolutional Neural Networks to do a binary image classification.

Collections of notebooks introducing Neural networks

This repository contains the Jupyter notebook for the custom-built VGG16 Model build for the Tiny ImageNet dataset.

A comparison of model types (both from scratch and pretrained) for classifying different types of waste. This project was developed for the Computational Intelligence and Deep Learning Course, MSC in AIDE at the University of Pisa.

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

Machine Learning Project Using Jupyter Notebooks

This repo contains the notebook for the model that can generate caption given an image.

In this notebook, we examine covid-19 infection with the help of convolutional neural network and chest x-ray images.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Vision and Perception exam project - "Sapienza" University of Rome, Spring Semester 2020

Notes and Jupyter notebooks exploring deep learning and Tensorflow framework

This Repo contains the jupyter notebook of Tea leaf disease detection using VGG16 as base model

This repository contains the Jupyter notebook for the custom-built VGG16 Model build for the Tiny ImageNet dataset.

Image Classification

[Imperial] Neural Network Model for Generation of Image Descriptors for Image Representation in the Euclidean Space.

A few notebooks on building binomial as well as multilabel image classifiers from scratch. Also, how to use a pretrained ConvNet for image classification.

This repository contains the jupyter notebooks used to take part at the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.

In this notebook, I am going to make a Deep Learning model which can be used to detect a person is wearing a mask or not. We will use VGG16 architecture to train our model to get good accuracy. What is VGG16? We are not going to address that in this notebook, to know more about VGG16 you can follow this link.

Transforming agriculture with AI: Explore our GitHub for advanced plant disease detection. Utilizing top CNN models, we empower farmers with early diagnosis tools. Access notebooks, datasets, and a user-friendly web app. Join us in revolutionizing farming for a sustainable future