Analytics Vidhya

APRIL 30, 2021

In this blog, I’ll provide a brief rundown of. The post Getting started with Deep Learning? ArticleVideo Book This article was published as a part of the Data Science Blogathon. Here’s a quick guide explaining everything at a place! appeared first on Analytics Vidhya.

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Towards AI

NOVEMBER 19, 2023

What is the issue of training deep learning models from scratch? takes… Read the full blog for free on Medium. This technique is more useful in the field of computer vision and natural language processing (NLP) because of large data that has semantic information. Join thousands of data leaders on the AI newsletter.

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KDnuggets

NOVEMBER 20, 2019

In this blog I will be demonstrating how deep learning can be applied even if we don’t have enough data.

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Towards AI

JANUARY 8, 2024

While discussion about deep learning seems to be everywhere now, I also have the strong impression that this whole field of artificial intelligence appears to be a huge black-box topic. Deep learning is impressive but no magic. like a language model) or classifying images with just a few lines of code.

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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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Towards AI

JULY 21, 2023

References Source: Unsplash Author(s): Roberto Iriondo When delving into AI and deep learning, choosing the right GPU for your AI rig can make a significant difference. The revolution of AI has… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

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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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The MLOps Blog

MARCH 1, 2024

TL;DR Deep learning models exhibit excellent performance but require high computational resources. Deep learning models continue to dominate the machine-learning landscape. Training and operating the deep learning models is expensive and time-consuming and has a significant impact on the environment.

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Analytics Vidhya

DECEMBER 30, 2022

The post Top 10 blogs on NLP in Analytics Vidhya 2022 appeared first on Analytics Vidhya. It involves developing algorithms and models to analyze, understand, and generate human language, enabling computers to perform sentiment analysis, language translation, text summarization, and tasks. Natural language processing (NLP) is […].

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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. This series is about CV and DL for Industrial and Big Business Applications.

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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. " Nuclear Engineering and Technology 53, no.

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KDnuggets

DECEMBER 11, 2019

We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

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Heartbeat

OCTOBER 11, 2023

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 Deep Learning? This is why the technique is known as "deep" learning.

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Heartbeat

AUGUST 29, 2023

Deep learning is a branch of machine learning that makes use of neural networks with numerous layers to discover intricate data patterns. Deep learning models use artificial neural networks to learn from data. It is a tremendous tool with the ability to completely alter numerous sectors.

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Dataversity

DECEMBER 2, 2021

Deep learning has advanced data storage to the point where, as more data hits it, the storage platform gets smarter and faster over time. The post Deep Learning: When Data Gets Smart appeared first on DATAVERSITY.

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Heartbeat

NOVEMBER 29, 2023

Two names stand out prominently in the wide realm of deep learning: TensorFlow and PyTorch. These strong frameworks have changed the field, allowing researchers and practitioners to create and deploy cutting-edge machine learning models. TensorFlow and PyTorch present distinct routes to traverse.

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Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

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KDnuggets

AUGUST 1, 2019

This blog explores how to navigate these challenges. Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail.

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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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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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Heartbeat

OCTOBER 18, 2023

In this article, we embark on a journey to explore the transformative potential of deep learning in revolutionizing recommender systems. However, deep learning has opened new horizons, allowing recommendation engines to unravel intricate patterns, uncover latent preferences, and provide accurate suggestions at scale.

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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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Heartbeat

JUNE 23, 2023

However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. In this post, we will look at deep learning approaches for time series analysis and how they might be used in real-world applications. Let’s dive in!

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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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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. ★ Roboflow : [Again !!!!]

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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Pickl AI

JUNE 5, 2023

The world of AI, ML and Deep learning continues to evolve and expand. With the significant rise in its application of Deep Learning and allied technologies, across the business spectrum, it has laid the foundation stone for a new future. The growth in Deep Learning applications in the real world will boost its market.

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Pickl AI

JANUARY 15, 2023

With the speedy evolution of technologies, Machine Learning, Artificial Intelligence and Deep learning meaning might baffle you. This blog would act as a guide for you to understand the concept- What is Deep Learning?- What is Deep Learning in AI? How Deep Learning works?

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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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Heartbeat

APRIL 23, 2023

Photo by RetroSupply on Unsplash Introduction Deep learning has been widely used in various fields, such as computer vision, NLP, and robotics. The success of deep learning is largely due to its ability to learn complex representations from data using deep neural networks. What is Epistemic Uncertainty?

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KDnuggets

MARCH 17, 2022

In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.

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ODSC - Open Data Science

APRIL 28, 2023

It’s always good to start a blog post with a joke (even if it’s not a very good one): Why is this funny? In my previous blog post , I talked through three approaches to sentiment analysis (i.e. In this post, I’ll be demonstrating two deep learning approaches to sentiment analysis. deep” architecture).

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Heartbeat

FEBRUARY 22, 2023

Deep learning for feature extraction, ensemble models, and more Photo by DeepMind on Unsplash The advent of deep learning has been a game-changer in machine learning, paving the way for the creation of complex models capable of feats previously thought impossible.

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Heartbeat

MAY 23, 2023

As technology continues to improve exponentially, deep learning has emerged as a critical tool for enabling machines to make decisions and predictions based on large volumes of data. Edge computing may change how we think about deep learning. Standardizing model management can be tricky but there is a solution.

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Towards AI

MARCH 14, 2024

__init__() self.fc1 = nn.Linear(3 , 32 , 32, 128) # Assume input shape of (3, 32, 32) def forward(self, x): # flatten tensor x = x.view(-1, 3 , 32 ,… Read the full blog for free on Medium. import torchimport torch.nn as nn# Define a simple neural networkclass SimpleNet(nn.Module): def __init__(self): super(SimpleNet, self).__init__()

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IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. This blog post will clarify some of the ambiguity. Machine learning is a subset of AI.

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ODSC - Open Data Science

APRIL 20, 2023

Deep Learning Approaches to Sentiment Analysis (with spaCy!) In this post, we’ll be demonstrating two deep learning approaches to sentiment analysis, specifically using spaCy. Is Machine Learning Necessary to Solve Problems in Biology? Deep Learning Approaches to Sentiment Analysis, Data Integrity, and Dolly 2.0

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