Data Science

Hi, very fresh to ML in general, I’m overwhelmed by choice for loss functions and accuracy measurements. Doing my masters project and my supervisor wants me to teach myself tf and throw the data through a model.

I’m feeding in an array of particle data from a decay, and asking for it to predict a 1 or -1 at the end representing parity of the original particle.

What loss fn and accuracy metric is best to use for something like this.

Other parameters, about 2 million events, 6particles in each decay/event. Their 4 momenta in each. That makes 24 in put strings.

First layer is a tf.flatten,

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