Analytics Vidhya

MARCH 1, 2022

There are immense computational costs of Deep Learning and AI. Artificial intelligence algorithms, which power some of technology’s most cutting-edge applications, such as producing logical stretches of text or creating visuals from descriptions, may need massive amounts of computational power to train. This, in […].

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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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Algorithm Computer Science Computer Science Machine Learning 360

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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Flipboard

NOVEMBER 6, 2024

We developed and validated a deep learning model designed to identify pneumoperitoneum in computed tomography images. Delays or misdiagnoses in detecting pneumoperitoneum can significantly increase mortality and morbidity. CT scans are routinely used to diagnose pneumoperitoneum.

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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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Hacker News

JANUARY 1, 2024

This book aims to provide an introduction to the topic of deep learning algorithms. We also cover several theoretical aspects of deep learning algorithms such as approximation capacities of ANNs (including a calculus for ANNs), optimization theory (including Kurdyka-Łojasiewicz inequalities), and generalization errors.

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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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Flipboard

MARCH 7, 2023

March 8, 2023 This tutorial provides an introduction to deep learning algorithms and their applications in various fields. We will cover the …

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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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Data Science Connect

FEBRUARY 2, 2023

Two of the most widely used subfields of AI are deep learning and machine learning. What is Machine Learning? Machine learning is a subfield of AI that uses algorithms to identify patterns in data and make predictions. What is Deep Learning?

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Analytics Vidhya

NOVEMBER 19, 2019

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. How Deep Learning Algorithms Work?

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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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ODSC - Open Data Science

JANUARY 25, 2023

A new deep learning algorithm just needs 12 seconds to determine if you’re above the legal drinking limit. The audio-based deep learning algorithm, ADLAIA, was trained to detect and identify alcohol inebriation levels based on a 12-second clip of their speech. How this algorithm works is interesting.

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IBM Journey to AI blog

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.

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Flipboard

NOVEMBER 21, 2023

Here, we introduce spatial architecture characterization by deep learning (SPACEL) for ST data analysis. Here, authors present a deep learning based method SPACEL for cell type deconvolution, spatial domain identification and 3D alignment, showcasing it as a valuable toolkit for ST data analysis

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Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

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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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Chatbots Life

MAY 16, 2024

IF THERE IS A SIN, THIS IS THE ONLY SIN; TO SAY THAT YOU ARE WEAK, OR OTHERS ARE WEAK” - By Swami Vivekanand Is Deep Learning now overtaking the Machine Learning algorithm? Let us first know what is Machine Learning ? Machine Learning was coined by “ Arthur Samuel ” in the year 1959. Must Watch.

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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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Heartbeat

MAY 2, 2023

Artificial intelligence has undergone a revolution thanks to deep learning. Deep learning allows machines to learn from vast amounts of data and carry out complex tasks that were previously only considered possible by humans (like translation between languages, recognizing objects etc.).

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The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

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Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

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Towards AI

SEPTEMBER 10, 2023

What I’ve learned from the most popular DL course Photo by Sincerely Media on Unsplash I’ve recently finished the Practical Deep Learning Course from Fast.AI. So you definitely can trust his expertise in Machine Learning and Deep Learning. Luckily, there’s a handy tool to pick up Deep Learning Architecture.

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Pickl AI

SEPTEMBER 23, 2024

Summary: This guide covers the most important Deep Learning interview questions, including foundational concepts, advanced techniques, and scenario-based inquiries. Gain insights into neural networks, optimisation methods, and troubleshooting tips to excel in Deep Learning interviews and showcase your expertise.

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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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Flipboard

AUGUST 6, 2023

This property of a system is defined by a specified number demonstrated or predicted using Machine Learning or a Deep Learning algorithm. The amount of entanglement in a system depends on a variety of factors, like the randomness of a system and the coefficient of entanglement.

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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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IBM Data Science in Practice

MARCH 21, 2023

In this blog, we go over a use case of an AI assisted image recognition process that consisted of many deep learning models. Aggregation Methods: A single deep learning model produces a matrix of prediction probabilities of each class for each section of the original image. This was a standard WML deployment.

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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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Hacker News

SEPTEMBER 15, 2023

Transformers have become the dominant model in deep learning, but the reason for their superior performance is poorly understood.

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Dataversity

DECEMBER 16, 2020

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. The post Understanding GPUs for Deep Learning appeared first on DATAVERSITY.

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DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

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Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Machine Learning?

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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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