Deep Learning (from basics)

 

Requirements

  • Python language

Description

Following topics are covered as part of the course

  • Explore building blocks of neural networks
    • Data representation, Tensor, Back propagation
  • Keras
    • Dataset, Applying Keras to cases studies, over fitting / under fitting
  • Artificial Neural Networks (ANN)
    • Activation functions
    • Loss functions
    • Gradient Descent
    • Optimizer
  • Image Processing
    • Convnets (CNN), hands-on with CNN
  • Text and Sequences
    • Text data, Language Processing
    • Recurrent Neural Network (RNN)
    • LSTM
    • Bidirectional RNN
  • Gradients and Back Propagation – Mathematics

Who this course is for:

  • Beginner Python developers, Data Science students, Students who have some exposure to Machine Learning
Get This Free Course

 



Free Coupons are valid for First 1000 Redemptions Only

Pin It on Pinterest