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VAE in no time
A quick tour of Variational Autoencoder (VAE) In recent times the generative model has gained huge attention due to its state-of-art performance and hence achieved massive importance in the marketplace and is also used widely. Variational Autoencoders are deep learning techniques used to learn the latent representations they are one of the finest approaches to unsupervised learning. VAE shows exceptional…
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A sudden change to the encoder!
Transformers have gained tremendous popularity since their creation due to their significant staging. They have ruled the NLP as well as the Computer vision. Transformers-based models have been the all-time dearest. Overview “Attention is all you need”. The paper describes the Transformer architecture where the encoder and decoder are stacked up. Both the architecture…
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Retirement of convolutions
Introduction “Computer Vision”, a field of Artificial Intelligence that helps Machines to visualize this beautiful world. Computer vision has led to wonders in enhancing Artificial Intelligence. From pattern recognition to Human Pose estimation, And from Robot navigation to solid-state physics, computer vision has much more useful and helpful applications. Using computer vision and deep learning, we successfully…
Chic perennial Intelligence