julia flux tutorial
Step 1 - Identify the problem regression or classification
Step 2 - Visualize the neuron architect based on Independent variables/features and dependent variable. For this see • Julia Flux Tutorial Part - 1
Step 3 - Count the no. of weights and bias
Step 4 - predict(x), loss f(x), activation f(x), derivatives....etc