A quick-n-dirty 45 minute primer to train an image classifier using FastAI
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Updated
Feb 28, 2022 - Jupyter Notebook
A quick-n-dirty 45 minute primer to train an image classifier using FastAI
Material do curso Py-14 de Python e Orientação a Objetos da Caelum adaptado para o formato de Notebooks
PyTorch 1.x version's Tutorials using Google Colab: Overview, Regression, ConvNets, RNNs, GANs tutorials, etc.
This project is the implementation of Dynamic U-Net architecture on Caravan Mask Challenge Dataset. A state of the art technique that has won many Kaggle competitions and is widely used in industry. Image segmentation models allow us to precisely classify every part of an image, right down to pixel level.
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Este repositorio estará basado en la explicación paso a paso en el uso de TensorFlow, Google Colab, y Python en los entrenamientos de Machine Learning para luego usar a través de HTML y JSON los modelos aprendidos por una red neuronal.
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