Coding theory

Decoding methods

In coding theory, decoding is the process of translating received messages into codewords of a given code. There have been many common methods of mapping messages to codewords. These are often used to recover messages sent over a noisy channel, such as a binary symmetric channel. (Wikipedia).

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RUBY defining our own methods

More videos like this online at http://www.theurbanpenguin.com We now look at how we can use and define methods in ruby to help keep the code tidy and concise. This also helps with readability of the code and later maintenance. In the example we use we take the decimal to ip address conver

From playlist RUBY

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Dynamic Random Access Memory (DRAM). Part 3: Binary Decoders

This is the third in a series of computer science videos is about the fundamental principles of Dynamic Random Access Memory, DRAM, and the essential concepts of DRAM operation. This video covers the role of the row address decoder and the workings of generic binary decoders. It also expl

From playlist Random Access Memory

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Cryptograph: Substitution Cipher (Caesar Cipher)

This lesson explains how to encrypt and decrypt a message using a Caeser cipher. Site: http://mathispower4u.com

From playlist Cryptography

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Network Security: Classical Encryption Techniques

Fundamental concepts of encryption techniques are discussed. Symmetric Cipher Model Substitution Techniques Transposition Techniques Product Ciphers Steganography

From playlist Network Security

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Cryptography: Transposition Cipher

This lesson explains how to encrypt and decrypt a message using a transposition cipher. Site: http://mathispower4u.com

From playlist Cryptography

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Find all the solutions of trig equation with cotangent

👉 Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given

From playlist Solve Trigonometric Equations

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Solving a trigonometric equation with applying pythagorean identity

👉 Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric equations, they include factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the given eq

From playlist Solve Trigonometric Equations by Factoring

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How to find all of the solutions to an equation as well as within the unit circle

👉 Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric identities, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the give

From playlist Solve Trigonometric Equations

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How-to Decode Outputs From NLP Models (Python)

In this video, we will cover three ways to decode the output probabilities from NLP models - greedy search, random sampling, and beam search. Learning how to decode outputs can make a huge difference in diagnosing model issues and improving text output quality - and as an added bonus it's

From playlist Recommended

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Tutorial 4: Ethan Meyers - Understanding Neural Content via Population Decoding

MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Ethan Meyers Population decoding is a powerful way to analyze neural data - from single cell recordings, fMRI, MEG, EEG, etc - to understand the info

From playlist MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015

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Structured Neural Summarization | AISC Lunch & Learn

For more details including paper and slides, visit https://aisc.a-i.science/events/2019-04-16/ Abstract Summarization of long sequences into a concise statement is a core problem in natural language processing, requiring non-trivial understanding of the input. Based on the promising re

From playlist Natural Language Processing

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0005 - Developing a web service framework from scratch

This is #5 in my series of live (Twitch) coding streams, working on writing my own web server and service framework in C++. Continuing development on URI parser -- fixed a few things I realized were wrong in the design so far, and did a bit more refactoring -- Watch live at https://www.tw

From playlist Excalibur

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Learn low-dim Embeddings that encode GRAPH structure (data) : "Representation Learning" /arXiv

Optimize your complex Graph Data before applying Neural Network predictions. Automatically learn to encode graph structure into low-dimensional embeddings, using techniques based on deep learning and nonlinear dimensionality reduction. An encoder-decoder perspective, random walk approach

From playlist Learn Graph Neural Networks: code, examples and theory

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Multilingualism in Natural Language Processing targeting low resource languages by Sudeshna Sarkar

DISCUSSION MEETING THE THEORETICAL BASIS OF MACHINE LEARNING (ML) ORGANIZERS: Chiranjib Bhattacharya, Sunita Sarawagi, Ravi Sundaram and SVN Vishwanathan DATE : 27 December 2018 to 29 December 2018 VENUE : Ramanujan Lecture Hall, ICTS, Bangalore ML (Machine Learning) has enjoyed tr

From playlist The Theoretical Basis of Machine Learning 2018 (ML)

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VQ-GAN | PyTorch Implementation

In this video we are implementing the famous Vector Quantized Generative Adversarial Networks (VQGAN) paper using PyTorch. VQGAN is a generative model for image modeling. It was introduced in Taming Transformers for High-Resolution Image Synthesis. The concept is build upon two stages. The

From playlist Paper Implementations

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Deep Decoder: Concise Image Representations from Untrained Networks (Lecture 2) by Paul Hand

DISCUSSION MEETING THE THEORETICAL BASIS OF MACHINE LEARNING (ML) ORGANIZERS: Chiranjib Bhattacharya, Sunita Sarawagi, Ravi Sundaram and SVN Vishwanathan DATE : 27 December 2018 to 29 December 2018 VENUE : Ramanujan Lecture Hall, ICTS, Bangalore ML (Machine Learning) has enjoyed tr

From playlist The Theoretical Basis of Machine Learning 2018 (ML)

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How to find all of the solutions of an equation with secant

👉 Learn how to solve trigonometric equations. There are various methods that can be used to evaluate trigonometric identities, they include by factoring out the GCF and simplifying the factored equation. Another method is to use a trigonometric identity to reduce and then simplify the give

From playlist Solve Trigonometric Equations

Related pages

Parity-check matrix | Las Vegas algorithm | Forward error correction | Hamming distance | Code | Coding theory | Generalized distributive law | Linear code | Euclidean distance | Conditional probability | Concatenated error correction code | Binary symmetric channel | Standard array | Error detection and correction | Integer programming