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

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

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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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 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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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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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

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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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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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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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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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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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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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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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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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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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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Hacker News

MARCH 19, 2024

MIT CSAIL researchers introduce FeatUp, a model-agnostic framework designed to significantly enhance the spatial resolution of deep learning features for improved performance in computer vision tasks such as semantic segmentation, depth prediction, and object detection.

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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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Heartbeat

FEBRUARY 21, 2024

Photo by Almos Bechtold on Unsplash Deep learning is a machine learning sub-branch that can automatically learn and understand complex tasks using artificial neural networks. Deep learning uses deep (multilayer) neural networks to process large amounts of data and learn highly abstract patterns.

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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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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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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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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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Hacker News

JANUARY 1, 2024

Delve into the realm of generative AI and large language models (LLMs) while exploring modern deep learning techniques, including LSTMs, GRUs, RNNs with new chapters included in this 50% new … - Selection from 50 Algorithms Every Programmer Should Know - Second Edition [Book]

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Towards AI

AUGUST 21, 2023

Machine Learning vs. AI vs. Deep Learning vs. Neural Networks: What’s the Difference? The rapid evolution of technology is molding our everyday existence as businesses turn more and more to sophisticated algorithms for efficiency. Machine Learning (ML): Next, machine learning takes the spotlight.

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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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Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. Loss functions guide learning by measuring errors. Activation functions introduce non-linear patterns.

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Machine Learning Mastery

APRIL 24, 2024

Traditional approaches to these problems often relied on complex algorithms and deep learning techniques yet still gave inconsistent outputs. Inpainting and outpainting have long been popular and well-studied image processing domains. However, recent advancements in the form of Stable diffusion have reshaped these domains.

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Analytics Vidhya

APRIL 22, 2024

Introduction Deep learning is a fascinating field that explores the mysteries of gradients and their impact on neural networks. Solutions like ReLU activation and gradient clipping promise to revolutionize deep learning, unlocking secrets for training success.

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Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Neural Networks, we have the concept of Loss Functions, The post Complete Guide to Gradient-Based Optimizers in Deep Learning appeared first on Analytics Vidhya.

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Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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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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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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Towards AI

APRIL 22, 2024

Algorithmic Bias in Facial Recognition Technologies Exploring how facial recognition systems can perpetuate biases. While FR was limited by a lack of computational power and algorithmic accuracy back then, we have since seen huge innovative improvements in the field.

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Heartbeat

NOVEMBER 14, 2023

For many years, gradient-boosting models and deep-learning solutions have won the lion's share of Kaggle competitions. XGBoost is not limited to machine learning tasks, as its incredible power can be harnessed when harmonized with deep learning algorithms. 2 (2021): 522–531.

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Smart Data Collective

FEBRUARY 23, 2023

Although there are plenty of tech jobs out there at the moment thanks to the tech talent gap and the Great Resignation, for people who want to secure competitive packages and accelerate their software development career with sought-after java jobs , a knowledge of deep learning or AI could help you to stand out from the rest.

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