venetisgr/batch_norm_tf_simple

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Created almost 6 years ago
Updated almost 6 years ago

venetisgr/batch_norm_tf_simple

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Batch Normalization implementation with Tensorflow on a simple artificial neural network

space_titanic_basic

Explore the space titanic dataset and crate a pipeline with all the "basic" forest algorithms

Jupyter Notebook

Keras_Generator

Implementation of 2 Keras generators. The first one converts the labels in one hot encoding while the second one encodes them to integer values. Both generators can split the dataset in train and validation. The directory must have one folder per class

Jupyter Notebook

duth_embedded_system_design

#Projects for embedded system design course

mnist_keras_ann

A simple keras implementation of an artificial neural network on the mnist dataset

Jupyter Notebook

keras_vgg16_fruits360

Using the Keras Functional API, we are trying to classify the fruits-360 dataset. We are using the VGG16 architecture and pretrained weights on ImageNet. Final accuracies are 0.9933 for the training and 0.9795 for the testing.

Jupyter Notebook