Tutors

Technology For All

PROGRAM OVERVIEW

CURRICULUM

  Deep Learning

  • Introduction to Deep Learning
  • Multilayered Network
  • Deep Networks and MNIST
  • Back Propagation
  • Regularization and Intro to OpenCV
  • OpenCV and Optimizers
  • Introduction to CNN
  • Project - CNN on MNIST datasert
  • Batch Normalization and Visualizing CNN
  • Visualizing CNN
  • GoogleNet, ResNet and UNet
  • Object Detection, YOLO and Siemese Network
  • Siemese Network and Intro to NLP
  • Word2Vec and Glove
  • Word Embeddings and Sentiment Analysis
  • Intro to RNN
  • LSTM and GRU
  • Encoder and Decoder
  • Encoder Decoder Implementation
  • Autoencoders
  • Attention Mechanism and Transformers
  • BERT, GPT and GAN
  • PROJECT - Image Classification
  • PROJECT - Machine Translation
  • Back Propagation