Course from O. Wintenberger for Master M2A at Sorbonne University : Online Convex Optimization
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Updated
Mar 10, 2022 - Jupyter Notebook
Course from O. Wintenberger for Master M2A at Sorbonne University : Online Convex Optimization
DNN classifiers for WDBC and Wine datasets.
Comprehensive image classification for training multilayer perceptron (MLP), LeNet, LeNet5, conv2, conv4, conv6, VGG11, VGG13, VGG16, VGG19 with batch normalization, ResNet18, ResNet34, ResNet50, MobilNetV2 on MNIST, CIFAR10, CIFAR100, and ImageNet1K.
A create-react-app boilerplate that is bootstrapped using the ignite-react-app cli.
Liste de commandes en Pascal pour le micro-ordinateur Adam de Coleco
Alzheimer's diagnosis using Convolutional Neural Networks
Modelo para verificar la edad de personas a partir de una fotografía con redes neuronales convolucionales.
Code for the CDISC {admiral} hackathon, Feb 2023. The objective of this hackathon is to develop ADaM datasets in R using the ADaM in R Asset Library {admiral} and other Pharmaverse packages.
Artificial Neural Network in Python
A comparison of a few sample optimization algorithms has been made using the IRIS dataset on Keras and Sklearn frameworks.
Example of the implementation of Adam Gradient Descent optimization algorithm on a simple convex function.
Project predicting geolocation from tweets as part of Yachay.ai externship
Implementation of optimization and regularization algorithms in deep neural networks from scratch
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