Analytics Vidhya

MARCH 1, 2022

The field of Deep Learning has materialized a lot over the past few decades due to efficiently tackling massive datasets and making computer systems capable enough to solve computational problems Hidden layers have ushered in a new era, with the old techniques being non-efficient, particularly […].

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Analytics Vidhya

MAY 26, 2021

The post Tuning the Hyperparameters and Layers of Neural Network Deep Learning appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Last time I wrote about hyperparameter-tuning using Bayesian Optimization: bayes_opt.

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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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Analytics Vidhya

OCTOBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction Keras is a Python library that provides an API for dealing with Neural networks and Deep Learning frameworks. Keras provides methods and components that are useful while working with various Deep Learning applications in Python.

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Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. The post How do Neural Networks really work? data is passed […].

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Marktechpost

APRIL 6, 2024

In deep learning, a unifying framework to design neural network architectures has been a challenge and a focal point of recent research. They have proposed a solution grounded in category theory, aiming to create a more integrated and coherent methodology for neural network design.

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Analytics Vidhya

FEBRUARY 6, 2024

Introduction Creating new neural network architectures can be quite time-consuming, especially in real-world workflows where numerous models are trained during the experimentation and design phase. In addition to being wasteful, the traditional method of training every new model from scratch slows down the entire design process.

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Analytics Vidhya

JULY 3, 2023

Introduction ONNX, also known as Open Neural Network Exchange, has become widely recognized as a standardized format that facilitates the representation of deep learning models. One of the key advantages of […] The post ONNX Model | Open Neural Network Exchange appeared first on Analytics Vidhya.

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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

OCTOBER 12, 2023

Introduction Activation functions are the secret sauce behind the remarkable capabilities of neural networks. While this might sound like an intricate technicality, understanding activation functions is crucial for anyone diving into artificial neural networks.

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Analytics Vidhya

OCTOBER 4, 2021

Convolutional Neural Network is a type of deep learning neural network that is artificial. The post Applications of Convolutional Neural Networks(CNN) appeared first on Analytics Vidhya. It is employed in computer vision and image recognition.

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Analytics Vidhya

MAY 1, 2021

Introduction In the past few decades, Deep Learning has. The post Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Overview Deep learning is a subset of Machine Learning dealing with different neural networks with three or more layers. The post A Comprehensive Guide on Neural Networks Performance Optimization appeared first on Analytics Vidhya.

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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 post Introduction to Artificial Neural Networks appeared first on Analytics Vidhya. The […].

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Analytics Vidhya

JUNE 8, 2023

Introduction to Deep Learning Deep learning is a branch of artificial intelligence (AI) that teaches neural networks to learn and reason. Its capacity to resolve complicated issues and deliver cutting-edge performance in various sectors has attracted significant interest and appeal in recent years.

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Unite.AI

MAY 8, 2024

The ability to effectively represent and reason about these intricate relational structures is crucial for enabling advancements in fields like network science, cheminformatics, and recommender systems. Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks.

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Analytics Vidhya

NOVEMBER 18, 2022

Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain. In deep learning, we add several hidden layers to gather the most minute details to learn the data for […].

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Analytics Vidhya

JANUARY 27, 2022

To understand Convolutional Neural networks, we first need to know What is Deep Learning? Deep Learning is an emerging field of Machine learning; that is, it is a subset of Machine Learning where learning happens from past examples or experiences with the help of […].

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Analytics Vidhya

JUNE 5, 2023

Introduction Long Short Term Memory (LSTM) is a type of deep learning system that anticipates property leases. Rental markets are influenced by diverse factors, and LSTM’s ability to capture and remember […] The post A Deep Dive into LSTM Neural Network-based House Rent Prediction appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all want to dive deep into deep learning and. The post Build your first artificial neural networks using Pytorch appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 25, 2022

Introduction A deep learning task typically entails analyzing an image, text, or table of data (cross-sectional and time-series) to produce a number, label, additional text, additional images, or a mix of these. The post Data Representation in Neural Networks- Tensor appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: In the world of Deep Learning (DL), there are many. The post Convolution Neural Network – Better Understanding! appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 2, 2022

What is Convolutional Neural Network? Convolutional Neural Networks also known as CNNs or ConvNets, are a type of feed-forward artificial neural network whose connectivity structure is inspired by the organization of the animal visual cortex. Small clusters of cells in the visual cortex are […].

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Analytics Vidhya

APRIL 16, 2021

Photo by Andrew Neel on Unsplash As the craze for deep learning. The post THE HISTORY OF NEURAL NETWORKS! ArticleVideo Book This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon ANN – General Introduction: Artificial Neural Networks (ANN)are the basic algorithms. The post Artificial Neural Networks – Better Understanding ! appeared first on Analytics Vidhya.

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Marktechpost

JANUARY 2, 2024

Exploring pre-trained models for research often poses a challenge in Machine Learning (ML) and Deep Learning (DL). This tool functions as a viewer specifically designed for neural networks, supporting frameworks like TensorFlow Lite, ONNX, Caffe, Keras, etc.

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Analytics Vidhya

NOVEMBER 29, 2021

Introduction to Artificial Neural Network Artificial neural network(ANN) or Neural Network(NN) are powerful Machine Learning techniques that are very good at information processing, detecting new patterns, and approximating complex processes.

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Analytics Vidhya

DECEMBER 14, 2020

Introduction: Hi everyone, recently while participating in a Deep Learning competition, I. The post An Approach towards Neural Network based Image Clustering appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

APRIL 8, 2023

If the order is […] The post Food Delivery Time Prediction with LSTM Neural Network appeared first on Analytics Vidhya. Other examples are Uber Eats, Food Panda, and Deliveroo, which also have similar services. They provide food delivery options.

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Marktechpost

JANUARY 24, 2024

Artificial Intelligence has witnessed a revolution, largely due to advancements in deep learning. This shift is driven by neural networks that learn through self-supervision, bolstered by specialized hardware. Before the advent of deep learning, data representation often involved manually curated feature vectors.

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Analytics Vidhya

JANUARY 29, 2024

But, here’s the problem: this encyclopedia is huge and requires significant time and effort […] The post Optimizing Neural Networks: Unveiling the Power of Quantization Techniques appeared first on Analytics Vidhya. Now, this friend has a precise way of doing things, like he has a dictionary in his head.

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Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon If you are a machine learning and AI enthusiast, you must have come across the word perceptron. Perceptron is taught in the first chapter of many deep learning courses. So what exactly it is? What is the inspiration behind it? How exactly it […].

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Analytics Vidhya

JANUARY 23, 2023

Introduction The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. This blog post will dive deep into the sigmoid function and explore its properties, applications, and implementation in code. appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 30, 2021

Can we develop a neural network out of it, or is it just for representation? The post Graph Neural Network: An Introduction appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon Introduction We all heard the term graph, but what is it? We can do all of these.

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Analytics Vidhya

MARCH 1, 2022

Introduction Neural Networks have acquired enormous popularity in recent years due to their usefulness and ease of use in the fields of Pattern Recognition and Data Mining. Deep Learning’s application to tasks such as object identification and voice recognition through the use of techniques […].

Neural Network 266

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Analytics Vidhya

FEBRUARY 17, 2020

Introduction Convolutional neural networks (CNN) – the concept behind recent breakthroughs and developments in deep learning. The post Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon + Image 1 Overview This article will support data scientists in furthering their studies on artificial neural networks so that they can develop applications for professional use.

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