shreyasseshadri / Visual-QA

Dataset: http://visualqa.org/

Visual-QA

Dataset: http://visualqa.org/

Useful Links

• Just read the tutorials part
• CNN using tensorflow
• Tutorial containg tf examples and CNN's,LSTM continue from there on
• Blog on viusal QA
• Another BLog on Visual QA
• For conceptual understanding see Deep learning course on coursera by andrewNG

Detailed Course plan

I would recommend to follow these links.

• Basic ML
  • python programming net-This is a really good website containing Explanations and implementains of ML basics.Follow all the steps.
  • Andrew NG Coursera
  • A-Z ML by udemy
  • See sessions from 3-12 in slack channel
• Convolutional Neural Networks
  • See python programming net for CNN part - containing code in Tensorflow
  • Deep learning Course by AndrewNG(cover only the CNN part for now)
  • see session 13 in slack
  • cs231n course link to CNN
• Word Emmbeddings
  • Word Embedding walk through
• LSTM
  • Blog on LSTM
  • python programing net-Walkthrough of LSTM tf code
• Tensorflow
  • See python programing net links from above.

Emphasise more on implementation side of things.The basic ML part try to understand the theory properly.

Instructions

• Make a seperate folder called data in the root directory
• Download the full data zip file
• Run create_csv.py in scripts folder