These past few days, I have been working on almost entirely training/testing and fine-tuning.

• I added the ability to change activation function per neuron, which can be used in rare cases
• I mainly added a webcam ability, which is shown in the pictures below.
  It’s not very accurate, which can be a bad selection of network configurations or a bad dataset, which I’m leaning towards since the majority of it was just fruits on a white background with a few pictures I took myself.
  It also means the example weights and biases or not very accurate for fruits, as seen in the 3rd picture. It keeps thinking random objects are lime and tracking the wrong things, but with the right settings and a good dataset, I’m sure it can be good.
• The predictions are also happening in 3 ms, which is really good.