NEURAL NETWORK
- - - Loss decay - - -
Y-axis: It represents the error value of the network
X-axis: It represents the training epoch with batch 5
- - - Hyper Parameters - - -
Input Nodes:
Hidden Layers:
Hidden Nodes per layer:
Output Nodes:
Total training data:
Batch Size:
Learning Rate:
Layer Space:
Graph Y_max :
Error:
LEARN
- - - TRAINING FUNCTION - - -
The function must be in Javascript
The function must return an array containing
the input array and the output array
//XOR function ()=>{ let input = new Array(2).fill(0).map(e=>Math.floor(Math.random()*2)) let output = (input.reduce((a,b)=>a+b)%2 == 0)?[0]:[1]; return [input,output]; }