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Which activation function do you use often in neural networks? 👇 Here's the list 📚 𝗦𝗶𝗴𝗺𝗼𝗶𝗱 - The sigmoid function squashes its input into the range… | 23 comments on LinkedIn

The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing hardware components intended to mimic the elusive learning mechanism of the brain.

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What I want to talk to you about today is the Holographic Principle and how it provides an explanation to Deep Learning. The Holographic…

Cheat Sheets for Machine Learning and Data Science

Today, we will have a detailed Introduction to Deep Learning, where we will study basic concepts i.e. working with deep learning using neural networks etc.

There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.

Psychology of Convolutional Neural Network

Today, we will discuss What is Neural Network? in detail, as understanding neural network is necessary for deep learning understanding.

😍For obtaining a local minimum of a differentiable function, gradient descent is a first-order iterative optimization process. 👉🏻Because this is the steepest descent, the objective is to take repeated steps in the opposite direction of the function's gradient (or approximate gradient) at the current position 📌 Follow for more Learnbay #gradientdescent #parameter #gradient #algorithm #function #learnbay #learnbatdatascience