How to pronounce“hyper parameters”in English

training hyper parameters it's important to note that the initialization of the neural network has a big impact in many of the cases but the purpose of this video is not to show the minimal

in the hyper parameters beyond the problem the hyper parameters has too many syllables for me to understand the hyperparameters of uh that's better

hellish drugs they are changing some hyper parameters of the simulation it is possible thanks to change of these hyper

useful interaction with the world and if we define hyper parameters broadly so

all roads lead back to excel in the space of data and also the hyper parameters of the neural networks and all of those allow

at a certain level of performance so it'll sort of select right with the hyper parameters we can tune kind of how we want the performance boundary and sla

architecture in the right direction that it converges more quickly but ultimately uh discovering the suitable hyper parameters of the architecture is also

uh and now we can use evolution to give that design for you and it might be mean um optimizing hyper parameters like the depth of layers and so on uh or

could go into the category of automated machine learning so where you're optimizing whether it's hyper parameters of the topology or

how big of a pi statistics is within the machine learning thing like because it sounds like hyper parameters and also just the role of

visualization tool on playground.tensorflow.org is really useful for getting an intuition about how the size of the network and the various hyper parameters affects

constant for this little experiment and just vary the number of neurons and hidden layers the hyper parameters are a batch size of

in designing machine learning systems because now you're programming in the space of data in the space of hyper parameters it's changing fundamentally

and you have a label you're trying to predict, just what is the right like neuro decoder architecture and hyper parameters to optimize that?

and the output of the network is the classification of whether it's an orange or a blue dot we'll hold all the hyper parameters