My Deep Learning (mdl) is a repository to keep records of the most interesting learnt examples.
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Updated
Dec 24, 2017 - Jupyter Notebook
My Deep Learning (mdl) is a repository to keep records of the most interesting learnt examples.
This repo is for the demo purpose of Hackntu Data science program.
PyTorch implementation of different types of autoencoders
Comparison between a linear and convolutional autoencoder.
This repository is created as part of Neural Networks and Deep Learning course at my college. This repo contains the implementations of Neural Network and Deep Learning algorithms.
An autoencoder to classify bank transactions as fraudulent or not
A collections of basic autoencoders and Generative models for chemistry
Predict likes , dislikes as well as rating of movies to users
Consists of variety of Autoencoders implementation for various applications such as denoising image, reverse image search, segmantic hair segmentation.
Major Neural Network Architectures - recurrent neural networks, convolutional neural networks, long-short-term-memory, autoencoders, recommender systems, artificial general intelligence
This course will take a look at autoencoders and their applications will help you see how autoencoders are used in dimensionality reduction and denoising. You will implement an artificial neural network and an autoencoder using the Keras framework. By the end of this course, you will be able to implement an autoencoder model using convolutional …
A religion based question answering AI, developed in collaboration for a university course on Design, Thinking and Innovation as part of my bachelor's degree.
Created by Mehmet Zahid Genç
My personal attempt to write well designed autoencoders-NNets.
friendly examples of using autoencoders with different applications
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