DL-Group2(24-25 Sem-1)

Topic outline

• Deep Learning(20CS4701A -PVP20) GROUP-II
  
  

  Deep Learning(20CS4701A -PVP20) GROUP-II

  • Announcements Forum
  • Academic Calendar(2024-25) File
  • YS-Individual TT(2024-25)SEM-I File
• Syllabus, Micro Syllabus, Strength of Correlation
  
  

  Syllabus, Micro Syllabus, Strength of Correlation

  • Syllabus File
  • Micro Syllabus File
  • Strength of Correlation File
• Lesson Plan
  
  

  Lesson Plan

  • Lesson Plan File
• Question Bank, Model Paper
  
  

  Question Bank, Model Paper

  • DL Question Bank File
  • Model Paper File
• LECTURE NOTES UNIT-I( Fundamentals of Deep Networks)
  
  

  LECTURE NOTES UNIT-I( Fundamentals of Deep Networks)

  • Introduction to DL File
  • Common Architectural Principles of DL File
• UNIT-II(Building Blocks of Deep Networks)
  
  

  UNIT-II(Building Blocks of Deep Networks)

  • Restricted Boltzmann Machine File
  • Autoencoders File
  • Variational Autoencoders File
  • Deep Belief Networks File
  • Generative Adversial Networks File
• UNIT-III(Convolution Neural Networks(CNN)
  
  

  UNIT-III(Convolution Neural Networks(CNN)

  • Convolution Neural Network File
  • Pooling Layer File
  • Variations of basic convolution function, structured outputs, data types File
  • Efficient Convolutional Algorithms, Random or Unsupervised Features File
  • The Neuro Scientific Basis for Convolutional Networks File
• UNIT-IV(Sequence Modeling – Recurrent and Recursive Nets )
  
  

  UNIT-IV(Sequence Modeling – Recurrent and Recursive Nets )

  • Recurrent Neural Network File
  • Encoder decoder seq to seq architectures File
  • Long short term memory File
• Topic 8
  
  

  Topic 8