Holds code written for MATH 384: Algorithms for Decision-Making at St. Olaf College
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Updated
Dec 20, 2016 - HTML
Holds code written for MATH 384: Algorithms for Decision-Making at St. Olaf College
Experiments on cluttered mnist dataset with Tensorflow.
Project 2: Udacity Deep Learning Image classification
Using generative adversarial networks to generate new images of faces (datasets: MNIST, CelebA).
Generative Adverserial Network for face generation using Tensorflow and DCGAN architecture
🔮😎 Keras mnist model served through a serverless endpoint
Project for Emerging Technology
Learning deep learning 😎 and neuroevolution 👾 ⭐
Face generation using generative adversarial networks to generate new images
Use GANs with normalization techniques like dropouts, batch normalization along with having a low variance in kernel weight initialization, achieve realistic images of faces trained on the CelebA dataset. Images also have been generated of hand written digits after being trained on the MNIST dataset. This would be useful for generating training …
Canvas to JSON, using Tensorflow & MNIST to predict digit
Generazione di Immagini Avversariali in Tensorflow
Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..
Code for Model Pruning on MNIST Dataset
Experiment with mnist database and pytorch neural networks.
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