## Performance comparison of gradient descent (GD) and stochastic gradient descent (SGD) method on MNIST dataset

Does SGD perform better than GD? Read out more to see its effect on MNIST dataset

Read MoreDoes SGD perform better than GD? Read out more to see its effect on MNIST dataset

Read MoreWanted to implement SGD on MNIST? Read more to find out!

Read MoreThis article explains the representation of lowpass equivalent of channel over bandpass equivalent.

Read MoreThis article explains the mathematical relationship of up-conversion and down-conversion used in Software-Defined Radio’s

Read MoreThis article describes the Mathematical relationship among Bandpass and Baseband signals

Read MoreEarlier we discussed the introduction of a continuous random variable and cumulative distribution...

Read MoreThe problem with Discrete random variables was they can’t be used for continuous data. In...

Read MoreA few practice problems related to Probability theory are given here. These problems are adapted...

Read MoreRandom variables are one of the foundational topic in understanding probability. Read more to find out!

Read MoreIn Probability theory, we came across some problems in which it is difficult to compute...

Read MoreThis article is in continuation of the previous article: Introduction to Probability As we defined...

Read MoreThese problems and Proofs are adapted from the textbook: Probability and Random Process by Scott...

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