Naive Bees deep Learning with image projects python

This repository contains solution to the assignments for the course Deep Learning (ECE60146) at Purdue University.

Restoring old images using deep learning. Initial code is adopted from Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising by K. Zhang, et. al By: Maya Hussein & Nada Badawi

Model creation of pedestrians present in the image and also detects the pedestrian in a video

The final project is mainly based on convolutional neural networks and deep learning built with TensorFlow, and developed both LSTM and shallow/deep CNN.

this is a repository to design a deep learning model to detect leishmaniasis in microscopic images

An open-source machine learning framework that accelerates the path from research prototyping to production deployment.” Simply put PyTorch is a deep learning framework and scientific computing package based on Python that uses the power of graphics processing units (GPU). PyTorch is a Python-based library designed to provide flexibility as a deep

Developed a deep learning model for the detection of melanoma.

Treball de fi de grau sobre tècniques d'aprenentatge profund aplicades a la classificació d'escenaris de xarxes oportunistes

Training a deep learning model for multimodal data fusion to detect misogyny in internet memes.

Some examples for Machine/Deep Learning and Neural Networks

Andrew Ng's Deep Learning course will help me refresh my knowledge.

深度学习笔记，自 2023 年 04 月 22 日。

This repository contains the labs and assignments done as a part of the coursework CSL4020 Deep Learning under Dr. Mayank Vatsa.

Detecting disease for plant from the images using Deep Learning

Deep Learning course - UniMi

Getting Started into the Computer Vision using the tensorflow with the Fashion MNIST dataset

Python AI

Meters to price predictions using Python and deep learning.

This repository contains the code and supporting materials for learning deep learning from scratch. The code is written in Python and uses NumPy.