Deep Learning Study Map

High-level areas to learn for Deep learning for numerical, text and video data

Deep Learning for NLP

• Data Preparation
• BOW (Needed to prepare tensors with one hot encoding), We pass numeric data (encoded data)
• Embeddings
• Language Models
• Translation
• Captioning
• LSTM, RNN, Next word prediction
• Summarization

Deep Learning for Data

• NN for forecasting
• NN for classification

Deep Learning for Video

• Extract Deep Features for each frame
• Feature Learning + Classification
• Classification (Frame Level)
• Classification + Localization (With Bounding Box)
• Object detection (Multiple Objects + Bounding Box)
• Instance Segmentation (Multiple Objects + Boundary region highlighted shape of object)
• GAN, CNN, RNN

Happy Learning!!!