Deep Learning

Deep learning also known as deep structured learning is a part of machine learning process based on learning data representation. It uses some form of gradient descent for training via backpropagation.

         The layers used in deep learning include hidden layers of artificial neural networks and sets of propositional formulas.

Deep Neural Network

DNN is an ANN with multiple hidden layers between the input and output layers. DNN architectures generate compositional models where the object is expressed as a layered composition of primitive. They are typically feed forward neural networks in which data flows from the input layer to the output layer without looping back.

Applications

  • Deep Feed forward Networks
  • Optimization for training deep neural network models
  • Sequence Modeling: Recurrent and Recursive Nets
  • Autoencoders

Related Conference of Deep Learning

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Deep Learning Conference Speakers

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