Machine learing and deep learning code at ancun
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Updated
Sep 5, 2018 - Jupyter Notebook
Machine learing and deep learning code at ancun
RLE, Huffman, JPEG
A TensorFlow implementation of transforming auto-encoders.
🌾 EDA and several Clustering techniques applied on a real dataset of wheat kernels. 🍞
Machine Learning | Deep Learning | Computer Vision Concept and Codes with demos
We use the Convolutional AutoEncoder Network model to train animated faces 👫 and test from a random noise added to the original image as input (to check if it performs on noised inputs).
Pytorch implementation examples of Neural Networks etc
Implementation of different approaches to recommendation on Amazon Review dataset
Building an auto-encoder with tensorflow and keras
Study and implementation about deep learning models, architectures, applications and frameworks
Autoencoder coloring gray scale pictures. An artificial neural network constructed and trained with Tensorflow 2.
Credit card fraud classification using handcrafted features, feature extraction algorithms and ensemblin.
Repository which contains programs using CNN, AutoEncoders
Example of a denoising autoencoder trained on the MNIST dataset using PyTorch.
Source code for my master thesis "Anomaly detection with Convolutional Autoencoder"
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