What is Micrograd?
— Micrograd is an autograd engine that implements backpropagation to efficiently evaluate the gradient of a loss function and tune the weights of a neural network.
How can Micrograd be used?
— Micrograd allows you to build out mathematical expressions and calculate the derivative of the output with respect to the inputs.
How many lines of code does Micrograd require?
— Micrograd is a powerful yet simple autograd engine that enables neural network training with only 150 lines of code.
How can the derivative of a function be calculated?
— The derivative of a function with respect to its inputs can be calculated by taking a small value of h and fixing the inputs at a certain point, then printing the slope which is the difference between the outputs divided by h.
What is the chain rule in calculus?
— The chain rule in calculus allows us to calculate the derivative of a sum expression, which is the local influence of c on d.
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