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
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Category: Telecommunication
Mastering Stochastic Gradient Descent algorithm with the MNIST Dataset
Wanted to implement SGD on MNIST? Read more to find out!
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Transmission through Bandpass System
This article explains the representation of lowpass equivalent of channel over bandpass equivalent.
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I/Q Representation for Bandpass & Lowpass Signals
This article explains the mathematical relationship of up-conversion and down-conversion used in Software-Defined Radio’s
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Relationship of Bandpass and Lowpass Signals
This article describes the Mathematical relationship among Bandpass and Baseband signals
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Problems for Cumulative Distribution Function
Earlier we discussed the introduction of a continuous random variable and cumulative distribution...
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Continuous Random Variables and Cumulative Distribution Function
The problem with Discrete random variables was they can’t be used for continuous data. In...
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Practice Problems (Introduction to Probability Theory)
A few practice problems related to Probability theory are given here. These problems are adapted...
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Random Variables
Random variables are one of the foundational topic in understanding probability. Read more to find out!
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Baye’s Rule
In Probability theory, we came across some problems in which it is difficult to compute...
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Assigning Probability and its Building Blocks
This article is in continuation of the previous article: Introduction to Probability As we defined...
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Proof related to Axioms of Probability
These problems and Proofs are adapted from the textbook: Probability and Random Process by Scott...
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