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venetisgr's Projects

ann_boost icon ann_boost

Artificial Neural Network performance boostusing Probabilistic Recovery with Rapid CascadeTraining

awesome-portfolio-website icon awesome-portfolio-website

A community maintained open source project aimed at making a personal portfolio for researchers, developers, and analysts simple, fast, and less cumbersome. We make sure you have a full-fledged website to showcase your work while you can spend time on your learning and innovative endeavors.

batch_norm_tf_simple icon batch_norm_tf_simple

Batch Normalization implementation with Tensorflow on a simple artificial neural network

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

dogs_vs_cats_keras icon dogs_vs_cats_keras

We are trying to solve the dogs vs cats classification problem. We are using a normal CNN and a pretrained VGG16 on imagenet. We are using the Keras Functional API. The final accuracies were 0.9646 and 0.9806.

guess_my_number_js icon guess_my_number_js

Guess my number is a game project that uses Javascript,HTML5 and CSS. This was a project for the course "The complete javascript course" in Udemy.

keras_cnn_mnist icon keras_cnn_mnist

Using the Keras Functional API and the CNNs we classify the MNIST dataset

keras_generator icon 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

keras_vgg16_fruits360 icon 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.

langchain icon langchain

โšก Building applications with LLMs through composability โšก

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