A 3 day workshop with hand-on coding exercises held by Safura Rashid Shomali, Resident Researcher at the Institute for Research in Fundamental Sciences (IPM), PhD in Neuroscience
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Updated
Nov 5, 2023 - MATLAB
A 3 day workshop with hand-on coding exercises held by Safura Rashid Shomali, Resident Researcher at the Institute for Research in Fundamental Sciences (IPM), PhD in Neuroscience
Recurrent Neural Networks (RNNs) are a type of neural network that process sequential data, such as speech, text, or time-series data. RNNs use feedback connections to maintain a state that can capture information from previous inputs, allowing them to make predictions based on a sequence of inputs.
Project for the module Recurrent Neural Networks for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Sentence Sentiment Analysis
My projects and exercises for the latest Deep Learning ND program from Udacity
This project makes a new and unique script from Moe's Tavern by script history, using recurrent networks.
using encoder decoder neural net architecture to translate french to english
Make recurrent layers in Flux much faster
Neural Networks and Deep Learning, Convolutional Neural Networks, Sequence Models
Recurrent neural network(RNN) Sequence Prediction, Jordan networks, Simple recurrent networks(SRN)
Transformer Architectures Comparison in Natural Language Generation Tasks
Week 3 - Recurrent Networks
Deep Learning Nanodegree Course Content
Udacity Nanodegree - Deep Learning - Projects: Convolutional Neural Networks, Recurrent Neural Networks, and Generative Adversarial Networks
Deep Learning Nano Degree Projects
Solution/code for projects and exercises for the Udacity's Deep Learning Nanodegree program 2021
Repository of the Udacity's Deep Learning Nanodegree program.
Material from Udacity for the Deep Learning ND
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