Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Deep Learning

  • Introduction To Deep Learning PDF
  • Intro to Deep Learning
  • ANN - I
  • ANN - 1 PDF
  • ANN - II
  • ANN - IV
  • ANN - IV PDF File
  • ANN - III PDF
  • ANN - IV Output Functions and Loss functions
  • Activation Functions_ Deep Network PDF
  • Output Functions_Loss Functions And MNIST Hands on PDF
  • ANN - V Lab
  • ANN - Vi
  • MNIST_Dataset_in_Keras lAB
  • ANN - VII
  • Backpropagation And Mini Batch GD PDF
  • Regularisation_Random Initialisation_Batch Normalisation PDF
  • ANN - VIII

  CNN & Computer Vision

  • CNN - I
  • CNN - ii
  • CNN - I & II PDF
  • CNN - III
  • CNN - IV
  • CNN MNIST File
  • Computer vision CV - I
  • opencv File
  • Visualizing CNN File
  • opencv - II
  • CV - III
  • Object Detection and YOLO
  • Alex Net, Google Net, ResNet, Transfer Learning
  • Alex Net
  • Object Detection - YOLO
  • Object Detection - siamese network
  • Object detection_ Yolo_ UNet PDF
  • Image Classification and Transfer Learning Lab
  • Image_Classification_Case_Study File

  NLP

  • Intro to NLP and Word Embedding
  • NER POS tagging and Word2Vec
  • Word Embedding - II along with Lab
  • Introduction To NLP PDF
  • Word2Vec And Glove PDF
  • RNN - LSTM
  • RNN - LSTM - II
  • RNN - LSTM - III
  • LSTM and GRU PDF
  • Word Emdedding Lab File
  • Recurrent Neural Networks PDF
  • Encoder Decoder - Image Captioning
  • RNN Lab
  • Revision on LSTM and RNN
  • Autoencoder
  • RNN Lab File
  • GAN's
  • Autoencoders PDF
  • GAN's PDF
  • Statistical Translation and Attention
  • Encoder Decoder PDF
  • Neural Machine Translation and Attention
  • Statistical Machine TranslationPDF
  • Transformers
  • Transformers PDF
  • BERT
  • Pretrained Models- BERT and GPT.
  • Neural Machine Translations Lab
  • Neural Machine Translations File

  Projects

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  Assignments

  • ANN_Assignment
  • ANN_Assignment_Regression