Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Hello guys! The post Image Classification using Convolutional Neural Network with Python appeared first on Analytics Vidhya. In this blog, I am going to discuss.

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Analytics Vidhya

AUGUST 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will briefly discuss CNNs, a special variant. The post A Hands-on Guide to Build Your First Convolutional Neural Network Model appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction Image 1 Convolutional neural networks, also called ConvNets, were first introduced in the 1980s by Yann LeCun, a computer science researcher who worked in the […].

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Convolutional Neural Networks Neural Network Data Science Computer Vision 306

Analytics Vidhya

JULY 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image source: B-rina Re??gnizing The post Speech Emotions Recognition with Convolutional Neural Networks appeared first on Analytics Vidhya. gnizing hum?n

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Analytics Vidhya

MARCH 1, 2022

This article was published as a part of the Data Science Blogathon. The post Basic Introduction to Convolutional Neural Network in Deep Learning appeared first on Analytics Vidhya.

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Convolutional Neural Networks Neural Network Deep Learning Data Science 271

Analytics Vidhya

AUGUST 2, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In computer vision, we have a convolutional neural network that. The post Image Classification Using CNN -Understanding Computer Vision appeared first on Analytics Vidhya.

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Computer Vision Convolutional Neural Networks Neural Network Data Science 376

Analytics Vidhya

NOVEMBER 24, 2021

This article was published as a part of the Data Science Blogathon. We know how useful convolutional neural networks are. CNNs have transformed image analytics. They are the most widely used building blocks for solving problems involving images.

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Convolutional Neural Networks Neural Network Data Science Computer Vision 393

Analytics Vidhya

DECEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications.

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Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction VGG- Network is a convolutional neural network model proposed by. The post Build VGG -Net from Scratch with Python! appeared first on Analytics Vidhya.

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Convolutional Neural Networks Python Neural Network Data Science 235

Analytics Vidhya

DECEMBER 22, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, let’s build our own custom CNN(Convolutional Neural Network) model all from scratch by training and testing it with our custom image dataset.

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Convolutional Neural Networks Neural Network Data Science Computer Vision 374

Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction My last blog discussed the “Training of a convolutional neural network from scratch using the custom dataset.” This blog is […].

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Convolutional Neural Networks Neural Network Data Science Explainability 364

Analytics Vidhya

FEBRUARY 22, 2023

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. The ultimate goal of these deep learning algorithms is to mimic the human eye’s capacity to perceive the surrounding environment.

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

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Artificial Corner

JANUARY 23, 2025

This is what I did when I started learning Python for data science. I checked the curriculum of paid data science courses and then searched all the stuff related to Python. I selected the best 4 free courses I took to learn Python for data science.

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Data Science Python Convolutional Neural Networks Natural Language Processing 95

Marktechpost

MAY 5, 2024

Additionally, Python has emerged as the primary language for various ML tasks. This article outlines the top ML courses in Python, offering readers the opportunity to enhance their skill set, transition careers, and meet the expectations of recruiters. and evaluating the same.

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Analytics Vidhya

DECEMBER 14, 2020

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

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Analytics Vidhya

DECEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Let’s learn about the pre-trained stacked model and detect if the person has Pneumonia or not. Introduction Computer Vision is taking over the world, tasks that were previously handled by humans themselves are now being done via computer in many fields.

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Analytics Vidhya

DECEMBER 20, 2021

This article was published as a part of the Data Science Blogathon Overview This article will discuss building a system that can detect malaria from cell images. The plan will be created in the form of a web application that can make it easier for users and even make it easier for developers who make […].

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AI Weekly

DECEMBER 7, 2023

Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. Our findings revealed that the DCNN, enhanced by this specialised training, could surpass. theconversation.com Who will win the battle for AI in the cloud?

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Analytics Vidhya

MARCH 30, 2022

This article was published as a part of the Data Science Blogathon.

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Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. The data-driven world will be in full swing. With the growth of big data and artificial intelligence, it is important that you have the right tools to help you achieve your goals. To perform data analysis 6.

Data Science 52

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Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. How much to learn? What to do next?

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ODSC - Open Data Science

FEBRUARY 13, 2023

The field of data science changes constantly, and some frameworks, tools, and algorithms just can’t get the job done anymore. We will take a gentle, detailed tour through a multilayer fully-connected neural network, backpropagation, and a convolutional neural network.

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Mlearning.ai

MARCH 26, 2023

Embark on Your Data Science Journey through In-Depth Projects and Hands-on Learning Photo by Wes Hicks on Unsplash Data science, as an emerging field, is constantly evolving and bringing forth innovative solutions to complex problems. I’ve handpicked a few Kaggle projects covering a range of data science concepts.

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ODSC - Open Data Science

APRIL 28, 2023

Introduction to SpaCy SpaCy is a python library designed to provide a “complete” NLP pipeline, including ingestion, tokenization, tagging, representation, and even classification. Since 2014, he has been working in data science for government, academia, and the private sector. Follow along in the notebook !

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Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

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Heartbeat

AUGUST 15, 2023

Advanced techniques have been devised to address these challenges, such as deep learning, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). This article will explore some advanced handwritten recognition techniques using Python.

Python 52

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IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification.

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ODSC - Open Data Science

SEPTEMBER 17, 2024

Mastery of these AI frameworks for software engineering, and other emerging tools, not only enhances your skillset but also opens up a world of opportunities in data science and AI. Machine Learning AI Frameworks for Software Engineering Scikit-learn Scikit-learn is a popular open-source machine learning library in Python.

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Heartbeat

APRIL 4, 2023

Fundamentals of Neural Style Transfer Neural style transfer (NST) is a deep learning algorithm that combines the content from one image and the style from another to generate unique artwork. It creates an intermediate representation of both images using a convolutional neural network (CNN).

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Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This is one of the best Machine learning projects in Python. Doctor-Patient Appointment System in Python using Flask Hey guys, in this blog we will see a Doctor-Patient Appointment System for Hospitals built in Python using Flask.

Machine Learning 52

Machine Learning Python Computer Vision Convolutional Neural Networks 52

How to Learn Machine Learning

DECEMBER 15, 2024

Whether you’re a complete beginner or an experienced professional looking to upgrade your skills, these courses provide the knowledge and practical experience needed to excel in the world of data science and artificial intelligence. Ready to start your machine learning journey?

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Machine Learning Neural Network Convolutional Neural Networks Software Engineer 52

Pickl AI

JULY 16, 2023

Neural Network Design There is a rich set of tools and functionalities for designing and implementing neural networks. It supports various types of neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.

Machine Learning 52

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Heartbeat

MARCH 14, 2023

photo from Data Science Central Industrial automation, security and surveillance, and service robots are just a few examples of fields that might benefit from robotics’ ability to identify and track objects. Deep learning for computer vision with Python. Additional resources: Adrian, R.

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Heartbeat

AUGUST 9, 2023

Step 2: Importing Dependencies (comet_ml) into Our Notebook Firstly we will need to install comet_ml, a Python library that provides tools for experiment tracking and managing your machine learning models. numpy is a Python library that is used in working with arrays. Now let us load our training data. max()) Output 255.0

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Python 52

Heartbeat

MARCH 8, 2023

Happy Reading, Emilie, Abby & the Heartbeat Team Natural Language Processing With SpaCy (A Python Library) — by Khushboo Kumari This post goes over how the most cutting-edge NLP software, SpaCy , operates. But instead of just tuning specific hyperparameters, we can also decide how our network is shaped.

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How to Learn Machine Learning

MAY 14, 2023

Python is widely regarded as the most popular programming language for machine learning due to its readability and extensive library support. Start by learning Python and then delve into popular machine learning libraries like TensorFlow, Keras, and Scikit-learn.

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