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Hosted by: IIT Kanpur Antargani
Hosted by: IIT Kanpur Antargani
Open the link to the page given below. Consider you have been given a dataset - Pima Indians onset of diabetes dataset. It describes patient medical record data for Pima Indians and whether they had an onset of diabetes within five years. As such, it is a binary classification problem (onset of diabetes as one or not as 0). This dataset consists of a total of 3 features/columns, including diabetes onset. Now, set the training to testing ratio to 80%. Now try adding hidden layers and neurons in each hidden layer and create a google document to enter values of testing loss for the following entries - 1) 1 Hidden layer (3 neurons) 2) 2 Hidden layers (3 neurons) 3) 3 Hidden layers (3 neurons) 4) 4 Hidden layers (3 neurons) 5) 3 Hidden layers with eight neurons 6) 3 Hidden layers with six neurons
Play this game to understand how AI can recognize the word through doodles drawn by the player. In Quick Draw, a model has been created which has been trained on multiple images of different objects, and it gets trained through doodles drawn by players as well. And this is how AI is making this game smarter every time.