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.
-
Updated
Jul 29, 2020 - Jupyter Notebook
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
Collections of notebooks introducing Neural networks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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
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.
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.
Guide for setting up a virtual environment and kernel for Python image processing. Practical exercises cover face recognition, shapes detection, vehicle identification, face detection, and vehicle number plate detection in a Jupiter Notebook. Purpose: Hands-on experience with essential computer vision techniques.
In this repository you can find the jupyter notebooks used to take part at the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.
This repository contains the Jupyter notebook for the custom-built VGG16 Model build for the Tiny ImageNet dataset.
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.
This repo contains the notebook for the model that can generate caption given an image.
This repository contains the Jupyter notebook for the custom-built VGG16 Model build for the Tiny ImageNet dataset.
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
In this notebook, we examine covid-19 infection with the help of convolutional neural network and chest x-ray images.
Add a description, image, and links to the vgg16 topic page so that developers can more easily learn about it.
To associate your repository with the vgg16 topic, visit your repo's landing page and select "manage topics."