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Topic: neural-networks

Modifications to Neural NetworksModifications to Neural Networks

Modifications to Neural Networks

Purpose Deep Learning is a subset of machine learning and hence it borrows a lot of common use cases…

  • deep-learning
  • neural-networks
  • machine-learning
BackpropagationBackpropagation

Backpropagation

Neural Network Topology Training a Neural Network Mathematically Complexity of the Loss Function…

  • deep-learning
  • neural-networks
  • machine-learning
Long, Short-term Memory, Gated Recurrent UnitLong, Short-term Memory, Gated Recurrent Unit

Long, Short-term Memory, Gated Recurrent Unit

Bi-Directional RNN Problems with Vanilla RNNs Long, Short-term Memory Networks Characteristics of an…

  • deep-learning
  • neural-networks
  • machine-learning
  • rnn
Convolutional Neural Networks (CNNs)Convolutional Neural Networks (CNNs)

Convolutional Neural Networks (CNNs)

Purpose CNN - Introduction Challenges in Image Processing CNNs - A specialised architecture for…

  • deep-learning
  • neural-networks
  • machine-learning
  • cnn
Recurrent Neural Networks (RNNs)Recurrent Neural Networks (RNNs)

Recurrent Neural Networks (RNNs)

Recurrent Neural Networks What are Sequences RNN Formulation Architecture of RNN The flow of…

  • deep-learning
  • neural-networks
  • machine-learning
  • rnn
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