Analyze the performance of 7 optimizers by varying their learning rates
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Updated
Dec 20, 2020 - Jupyter Notebook
Analyze the performance of 7 optimizers by varying their learning rates
Сегментация КТ-снимков лёгких для выявления поражения тканей от COVID-19 на основе глубоких свёрточных нейронных сетей
This repository contains a term project I did in my machine learning class under Dr.Yingying Zhu .We are attempted to use U-Net on Brain MRI images to apply image segmentation to isolate LGG tumor cells in the brain. Achieved 78% accuracy. Includes Jupiter book, PPT, report and demo video
Semantic segmentation solution for Airbus Challenge Task
PyTorch Implementation 3D U-Net architecture
Geospatial Object Detection using Aerial Images
U-Net based deep learning model for the purpose of segmenting tooth images.
This repository showcases the implementation of both Semantic Segmentation Model and Object Detection Models for Self-Driving Cars.
Semantic segmentation on aerial images of natural disasters (lpcv2023 challenge dataset).
liver_tumor_segment
Image Segmentaion using Deep learning
A Unet semantic segmentation workflow for working with TPS files
Visual Analysis of Lung Segmentation using the U-NET Architecture on the Montgomery dataset
U-Net Binary Segmentation on Electron Microscopy Particle Dataset
Different ways to create the Unet Architecture in PyTorch. A U-shaped architecture consists of a specific encoder-decoder scheme: The encoder reduces the spatial dimensions in every layer and increases the channels....
This repository contains some TensorFlow demos I put together for students while teaching CS 12: TensorFlow at Caltech.
Software para determinação da área superficial de amostras, utilizadas em medidas elétricas.
Image segmentation model for checking apple quality using UNet model architecture on TensorFlow along with AWS SageMaker deployment.
Lung segmentation in chest X-ray images using U-Net
In this project I tried to replicate tensorflow pix to pix model on different dataset.
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