Deep Learning (from basics)

Deep Learning (from basics)

Deep Learning (from fundamentals), Deep Learning with Python/ Keras.


Following issues are lined as part of the course

  • Uncover establishing blocks of neural networks
    • Information illustration, Tensor, Once more propagation
  • Keras
    • Dataset, Making use of Keras to circumstances analysis, over turning into / beneath turning into
  • Artificial Neural Networks (ANN)
    • Activation options
    • Loss options
    • Gradient Descent
    • Optimizer
  • Image Processing
    • Convnets (CNN), hands-on with CNN
  • Textual content material and Sequences
    • Textual content material info, Language Processing
    • Recurrent Neural Neighborhood (RNN)
    • LSTM
    • Bidirectional RNN
  • Gradients and Once more Propagation – Arithmetic
    • Gradient Descent
    • Arithmetic
  • Image Processing  / CV – Superior
    • Image Information Generator
    • Image Information Generator – Information Augmentation
    • Pre-trained neighborhood
  • Purposeful API
    • Intro to Purposeful API
    • Multi Enter Multi Output Model

The flicks are concepts and hands-on implementation of issues

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