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www.v7labs.com | ||
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ataspinar.com
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| | | | | In the previous blog posts we have seen how we can build Convolutional Neural Networks in Tensorflowand also how we can use Stochastic Signal Analysis techniques to classify signals and time-series. In this blog post, lets have a look and see how we can build Recurrent Neural Networks in Tensorflow and use them to classify Signals. | |
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research.google
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| | | | | Posted by Ha?im Sak, Andrew Senior, Kanishka Rao, Françoise Beaufays and Johan Schalkwyk - Google Speech TeamBack in 2012, we announced that Google... | |
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bdtechtalks.com
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| | | | | The transformer model has become one of the main highlights of advances in deep learning and deep neural networks. | |
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blog.keras.io
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| | | [AI summary] The text discusses various types of autoencoders and their applications. It starts with basic autoencoders, then moves to sparse autoencoders, deep autoencoders, and sequence-to-sequence autoencoders. The text also covers variational autoencoders (VAEs), explaining their structure and training process. It includes code examples for each type of autoencoder and mentions the use of tools like TensorBoard for visualization. The VAE section highlights how to generate new data samples and visualize the latent space. The text concludes with references and a note about the potential for further topics. | ||
