Naive Bees deep Learning with image projects python
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Updated
May 5, 2023 - Jupyter Notebook
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Naive Bees deep Learning with image projects python
This repository contains solution to the assignments for the course Deep Learning (ECE60146) at Purdue University.
The final project is mainly based on convolutional neural networks and deep learning built with TensorFlow, and developed both LSTM and shallow/deep CNN.
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
this is a repository to design a deep learning model to detect leishmaniasis in microscopic images
Deep Learning, Potato Disease Detection Project using CNN
Training a deep learning model for multimodal data fusion to detect misogyny in internet memes.
Developed a deep learning model for the detection of melanoma.
Andrew Ng's Deep Learning course will help me refresh my knowledge.
Treball de fi de grau sobre tècniques d'aprenentatge profund aplicades a la classificació d'escenaris de xarxes oportunistes
Simple AI chatbot created with python using AI and deep learning
In this repo consist of solutions of EECS 498-007 / 598-005 Deep Learning for Computer Vision Fall 2019 online lecture assignments.
Some examples for Machine/Deep Learning and Neural Networks
Getting Started into the Computer Vision using the tensorflow with the Fashion MNIST dataset
This repository contains the labs and assignments done as a part of the coursework CSL4020 Deep Learning under Dr. Mayank Vatsa.
Deep Learning course - UniMi
Detecting disease for plant from the images using Deep Learning
Deep Learning Specialization by Andrew Ng on Coursera