Amir Mesbah
Amir Mesbah
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Deep Learning
Distributed Gossip training for Fashion MNIST classification
Training multiple Deep Neural Networks which they can communicate.
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Crowed Counting with Deep Learning
Counting number of people in crowded images using Deep Learning.
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Detecting Parkinson disease using signals of speech data with ensemble learning
Use ML Algorithms for a parkinson detction task.
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Federated Learning on Semantic Segmentation task (FedAVG, FedADMM)
Image segmentation by using Federated Learning for autonomous driving application.
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Generative Cooperative Network
A combination of an image generator and a classifier succeeds to generate images.
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Image Captioning
Combining Image embeddings from Resnet and text embeddings from LSTM to generate captions for images.
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Machine translation with transformers (English to Persian)
Taking advantage of transformers to build an English to Persian Translator.
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Relation Extraction Via Reccurent Neural Neworks
Extracting Relations from Sentences using LSTMs.
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Semantic segmentation with Segnet
using Deep Neural Networks for segmenting images of Camvid dataset.
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