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  • Created over 4 years ago
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Repository Details

• Extensions to Basic Autoencoder: Generated results for three different Dense and two different CNN architectures and compared their performance and summarized the impact of the architectures on performance. • Denoising Autoencoder: Generated complex CNN and ANN models to remove noise from an image and summarized the results using accuracy and clear predicted images. • Text Reconstruction: Generated complex CNN and ANN text reconstruction models from scratch, comparing their performances, accuracy and predicted images and generated a detailed report on the same.