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
Treball de fi de grau sobre tècniques d'aprenentatge profund aplicades a la classificació d'escenaris de xarxes oportunistes
Andrew Ng's Deep Learning course will help me refresh my knowledge.
Deep Learning, Potato Disease Detection Project using CNN
Developed a deep learning model for the detection of melanoma.
Simple AI chatbot created with python using AI and deep learning
This project is a deep learning model for image classification of cats and dogs using the popular Kaggle dataset containing 25,000 labeled images of cats and dogs.
In this repo consist of solutions of EECS 498-007 / 598-005 Deep Learning for Computer Vision Fall 2019 online lecture assignments.
Deep Learning course - UniMi
Some examples for Machine/Deep Learning and Neural Networks
Training a deep learning model for multimodal data fusion to detect misogyny in internet memes.
Getting Started into the Computer Vision using the tensorflow with the Fashion MNIST dataset
Deep Learning Specialization by Andrew Ng on Coursera
Detecting disease for plant from the images using 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.