Analytics Vidhya

FEBRUARY 16, 2020

Overview Check out 3 different types of neural networks in deep learning Understand when to use which type of neural network for solving a. The post CNN vs. RNN vs. MLP – Analyzing 3 Types of Neural Networks in Deep Learning appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 3, 2022

The post COVID-19 Safety Protocol Tracker Using Deep Learning appeared first on Analytics Vidhya. INTRODUCTION Fig 1 – Source: Canva The ongoing Coronavirus disease (COVID-19) outbreak has driven health to the top of the priority in our lives, bringing the entire world to a halt. Life is slowly […].

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insideBIGDATA

MAY 29, 2023

However, with a deep learning algorithm created by Stephen Baek, Phong Nguyen and their research team, the process takes less than a second on a laptop.

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KDnuggets

NOVEMBER 21, 2023

Master algorithms, including deep learning like LSTMs, GRUs, RNNs, and Generative AI & LLMs such as ChatGPT, with Packt's 50 Algorithms Every Programmer Should Know.

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Analytics Vidhya

APRIL 28, 2023

Machine learning algorithms or deep learning techniques have proven valuable in survival prediction rates, offering insights that can help guide treatment plans and prioritize resources.

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KDnuggets

JULY 17, 2023

The second edition of the book Neural Networks and Deep Learning is now available. This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning.

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Analytics Vidhya

JANUARY 27, 2022

Introduction Over the past several years, groundbreaking developments in machine learning and artificial intelligence have reshaped the world around us. There are various deep learning algorithms that bring Machine Learning to a new level, allowing robots to learn to discriminate tasks utilizing the human […].

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Analytics Vidhya

NOVEMBER 11, 2020

Introduction Photo by Kevin Ku on Unsplash Deep reinforcement learning has a variety of different algorithms that solves many types of complex problems in. The post Baseline for Policy Gradients that All Deep Learning Enthusists Must Know appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 6, 2022

Image processing algorithms take a long time to process the data because of the large images and the amount of information available in it. The post Comprehensive Guide to Edge Detection Algorithms appeared first on Analytics Vidhya. Introduction Image processing is a widely used concept to exploit the information from the images.

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Analytics Vidhya

JUNE 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon What are Genetic Algorithms? Genetic Algorithms are search algorithms inspired by. The post Genetic Algorithms and its use-cases in Machine Learning appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 23, 2022

Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […].

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Analytics Vidhya

MARCH 15, 2021

ArticleVideo Book Introduction In a Neural Network, the Gradient Descent Algorithm is used during the backward propagation to update the parameters of the model. The post Variants of Gradient Descent Algorithm appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 25, 2022

Introduction The gradient descent algorithm is an optimization algorithm mostly used in machine learning and deep learning. In linear regression, it finds weight and biases, and deep learning backward propagation uses the […]. This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

MARCH 1, 2024

Introduction The Hamming Distance Algorithm is a fundamental tool for measuring the dissimilarity between two pieces of data, typically strings or integers. This […] The post All About Hamming Distance Algorithm appeared first on Analytics Vidhya. It calculates the number of positions at which the corresponding elements differ.

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Data Science Dojo

JULY 15, 2024

By understanding machine learning algorithms, you can appreciate the power of this technology and how it’s changing the world around you! Let’s unravel the technicalities behind this technique: The Core Function: Regression algorithms learn from labeled data , similar to classification.

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KDnuggets

FEBRUARY 21, 2022

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

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Analytics Vidhya

JANUARY 12, 2021

ArticleVideos Two different image search engines developed with Deep Learning algorithms Photo by Geran de Klerk on Unsplash Introduction Imagine that you want to. The post Querying Similar Images with TensorFlow appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 11, 2022

Introduction In machine learning, the data’s amount and quality are necessary to model training and performance. The amount of data affects machine learning and deep learning algorithms a lot. Most of the algorithm’s behaviors change if the amount of data is increased or […].

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Analytics Vidhya

SEPTEMBER 29, 2023

Introduction In deep learning, optimization algorithms are crucial components that help neural networks learn efficiently and converge to optimal solutions.

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Analytics Vidhya

DECEMBER 12, 2022

Introduction In machine learning and deep learning, the amount of data fed to the algorithm is one of the most critical factors affecting the model’s performance. However, in every machine learning or deep learning problem, it is impossible to have enough data to […].

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Analytics Vidhya

FEBRUARY 25, 2023

Introduction In recent years, the evolution of technology has increased tremendously, and nowadays, deep learning is widely used in many domains. This has achieved great success in many fields, like computer vision tasks and natural language processing.

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Analytics Vidhya

MARCH 20, 2024

Introduction Optimizing deep learning is a critical aspect of training efficient and accurate neural networks. Various optimization algorithms have been developed to improve the convergence speed.

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KDnuggets

FEBRUARY 21, 2022

Also: Free MIT Courses on Calculus: The Key to Understanding Deep Learning; How to Learn Math for Machine Learning; Is Data Science a Dying Career?; Top Programming Languages and Their Uses.

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Analytics Vidhya

FEBRUARY 22, 2023

The ultimate goal of these deep learning algorithms is to mimic the human eye’s capacity to perceive the surrounding environment. Introduction From the 2000s onward, Many convolutional neural networks have been emerging, trying to push the limits of their antecedents by applying state-of-the-art techniques.

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Analytics Vidhya

MARCH 13, 2023

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language.

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Analytics Vidhya

OCTOBER 30, 2023

They depend on deep learning algorithms trained on significant datasets of previously recorded […] The post The Ultimate Guide to AI Voice Generators for 2023 Edition appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 7, 2021

This article was published as a part of the Data Science Blogathon Introduction The deep learning algorithms required the data in a specific order or shape. You will learn through this article […]. First, we have to arrange the data in batches, then we have to feed the batched data to the model in the epoch loop.

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Analytics Vidhya

DECEMBER 23, 2023

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and its gentle computational requirements make it a versatile and efficient choice.

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Analytics Vidhya

NOVEMBER 27, 2021

It is a significant step in the process of decision making, powered by Machine Learning or Deep Learning algorithms. This article was published as a part of the Data Science Blogathon. Statistics plays an important role in the domain of Data Science.

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Machine Learning Mastery

FEBRUARY 21, 2023

Training a neural network or large deep learning model is a difficult optimization task. The classical algorithm to train neural networks is called stochastic gradient descent. In this post, […] The post Using Learning Rate Schedule in PyTorch Training appeared first on MachineLearningMastery.com.

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Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The […]. The post Introduction to Artificial Neural Networks appeared first on Analytics Vidhya.

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insideBIGDATA

FEBRUARY 14, 2023

NTT Corporation (President and CEO: Akira Shimada, “NTT”) and the University of Tokyo (Bunkyo-ku, Tokyo, President: Teruo Fujii) have devised a new learning algorithm inspired by the information processing of the brain that is suitable for multi-layered artificial neural networks (DNN) using analog operations.

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KDnuggets

OCTOBER 17, 2022

10 Cheat Sheets You Need To Ace Data Science Interview • 3 Valuable Skills That Have Doubled My Income as a Data Scientist • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • The Complete Free PyTorch Course for Deep Learning • Decision Tree Algorithm, Explained.

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KDnuggets

DECEMBER 28, 2022

Classify images at scale and with very high accuracy with the advent of machine learning and deep learning algorithms.

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Analytics Vidhya

SEPTEMBER 15, 2020

Introduction In this article, we will be taking a deep dive into an interesting algorithm known as “Seam Carving”. The post Seam Carving Algorithm : A Seemingly Impossible Way of Resizing An Image appeared first on Analytics Vidhya. It does a seemingly impossible.

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databricks

APRIL 20, 2023

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because.

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Analytics Vidhya

NOVEMBER 1, 2021

Deep learning algorithms can have huge functional uses when provided with quality data to sort through. This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation.

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