Place the directory containing the project ('cifar10_classification_autoencoder') inside the 'Colab Notebooks' folder in your Google Drive; Open an ipython notebook inside the project folder and place ...

The classifier θ is built off of the intermediate representation z of the denoising autoencoder as shown in. After encoding noisy input, a separate task is added (classification) that contributes the ...

When it is trained as an autoencoder, the inherent topological structure of the data can be visualized, while when it is trained as a classifier, a topological structure that is further constrained by ...

With the rapid development of artificial intelligence (AI) in recent years, fault diagnostics for industrial applications have leaped toward partially or fully automatic provided by the capability of ...

Ram, P.K. and Kuila, P. (2022) GAAE A Novel Genetic Algorithm Based on Autoencoder with Ensemble Classifiers for Imbalanced Healthcare Data. The Journal of Supercomputing, 79, 541-572. Login.

The model is trained until the loss is minimized and the data is reproduced as closely as possible. Through this process, an autoencoder can learn the important features of the data. While that’s a ...