SignDetectionOfDigits
Sign detection of digits using the tensorflow library with sign dataset
2 - Building your first neural network in tensorflow
In this part of the assignment you will build a neural network using tensorflow. Remember that there are two parts to implement a tensorflow model:
- Create the computation graph
- Run the graph
Let's delve into the problem you'd like to solve!
2.0 - Problem statement: SIGNS Dataset
One afternoon, with some friends we decided to teach our computers to decipher sign language. We spent a few hours taking pictures in front of a white wall and came up with the following dataset. It's now your job to build an algorithm that would facilitate communications from a speech-impaired person to someone who doesn't understand sign language.
- Training set: 1080 pictures (64 by 64 pixels) of signs representing numbers from 0 to 5 (180 pictures per number).
- Test set: 120 pictures (64 by 64 pixels) of signs representing numbers from 0 to 5 (20 pictures per number).
Note that this is a subset of the SIGNS dataset. The complete dataset contains many more signs.
Here are examples for each number, and how an explanation of how we represent the labels. These are the original pictures, before we lowered the image resolutoion to 64 by 64 pixels.
