Treball de fi de grau sobre tècniques d'aprenentatge profund aplicades a la classificació d'escenaris de xarxes oportunistes
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Updated
May 12, 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.
Treball de fi de grau sobre tècniques d'aprenentatge profund aplicades a la classificació d'escenaris de xarxes oportunistes
Naive Bees deep Learning with image projects python
Detecting disease for plant from the images using Deep Learning
A man who has basically learnt the fundamental theory of deep learning now decide to give it a try.
This repository contains assignment solutions for Deep Learning Specialization on coursera.
Some examples for Machine/Deep Learning and Neural Networks
Training a deep learning model for multimodal data fusion to detect misogyny in internet memes.
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 repository contains solution to the assignments for the course Deep Learning (ECE60146) at Purdue University.
Explore my diverese colllection of projects showcasing Deep learning and more. Organized by projects, each directory contains code, datasets, documentation and resources. Dive in to discover insights and technique in Deep learning. Reach out for collaborations and feedback.
This repository contains the labs and assignments done as a part of the coursework CSL4020 Deep Learning under Dr. Mayank Vatsa.
🎓 Exercises for the lecture "Deep Learning" at HTWG.
Andrew Ng's Deep Learning course will help me refresh my knowledge.
The final project is mainly based on convolutional neural networks and deep learning built with TensorFlow, and developed both LSTM and shallow/deep CNN.
Deep Learning course - UniMi
This repository contains all the exercise files in the LinkedIn Learning course "Deep Learning: Model Optimization and Tuning" by Kumaran Ponnambalam.
Getting Started into the Computer Vision using the tensorflow with the Fashion MNIST dataset
My personal notes about PyTorch library and Dive into Deep Learning Book
Model creation of pedestrians present in the image and also detects the pedestrian in a video