Available Blocks:
Dense Layer
Layer consisting of a line of nodes, each node holds a single value and passes this value on to the next layer.
Convolutional Layer
Layer consisting of multidimensional nodes, which could represent data like images.
Additional Parameters:
The number of times the model trains on the data set. For example, if you choose two epochs, the model will see each data point twice.
How fast the model learns, a higher number may increase accuracy in the short term but could lead to overfitting.
Build Space:
Input Layer
This layer is where the data is inputted. It has to be the same shape as the data but we handle that for you!
Drag layers here to start building
Testing Space:
Draw Here
Left click - draw
Right click - erase
Touch - only draw
Training:
Training Statistics: