Deep learning for text and sequences
Introduction Deep-learning models that would process text either understood as sequences of word or sequences of characters, statistic, and sequence
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Deep Learning
What Are Word Embeddings for Text?
Introduction Word embeddings are a kind of word representation. It permits words with like meaning to have the same representation.
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What is A Recurrent Neural Network?
Introduction A recurrent neural network (RNN) is a type of neural network that is helpful in modeling sequence data. Derived
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TensorFlow visualization framework
Introduction To do good research or develop good models, we need rich, frequent feedback about what’s going on inside our
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Hyperparameters And Validation Sets In Deep Learning
Introduction Most machine learning algorithms have several settings that we will use to regulate the behavior of the training algorithm. These settings are called hyperparameters. The
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Representational Bottlenecks in Deep Learning
Introduction In a Sequential model, each successive representation layer is made on top of the previous one, which suggests it only has access to the
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How To Layer A Directed Acyclic Graph?
Description The layering problem for directed acyclic graphs (DAGs) arises together with the steps of the classical Sugiyama algorithm for
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