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Who is the author of the book 'Make Your Own Neural Network: An In-depth Visual Introduction For Beginners'?
Which programming language does the book suggest to use for creating a neural network?PythonJavaC++JavaScript
What type of learning can be used to improve the performance of a neural network over time?
What is the role of activation functions in a neural network?They decide whether a neuron should be activated or notThey determine the input of the neuronThey store the weight valuesThey perform backpropagation
What is the backbone of any Neural Network?
In the context of the book, what does 'backpropagation' refer to?A technique of adjusting the weights in a neural networkA type of neural networkA programming languageAn overfitting solution
What is the essential topic that the book 'Make Your Own Neural Network' covers?
What represents the strength of the connections in a neural network?WeightsNeuronsLayersBias
Which principle helps neurons learn from the mistakes they make during training?
How does a neural network learn during the training process?By adjusting its weights based on the error of the outputBy increasing the number of layersBy adding new neuronsBy changing the type of activation function