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Neural Networks and Deep Learning with Python

Analytics Vidhya

In this article, we will see how to set up Neural Networks, Artificial Neural Networks, and Deep Neural Networks, and also how to design the model, how to train […]. The post Neural Networks and Deep Learning with Python appeared first on Analytics Vidhya.

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Introduction to Neural Network in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is a branch of Machine learning where higher levels of features from the data can be extracted using an Artificial neural network inspired by the working of a neural system in the human body.

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ggplot in Python: A Data Visualization Guide

Analytics Vidhya

This article will dive into ggplot’s features and why it’s such a valuable tool for visualizing data […] The post ggplot in Python: A Data Visualization Guide appeared first on Analytics Vidhya. Built on the grammar of graphics, ggplot offers a straightforward way to make beautiful plots.

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KDnuggets News, November 9: 7 Tips To Produce Readable Data Science Code • 30 Resources for Mastering Data Visualization

KDnuggets

7 Tips To Produce Readable Data Science Code • 30 Resources for Mastering Data Visualization • 15 More Free Machine Learning and Deep Learning Books • Simple and Fast Data Streaming for Machine Learning Projects • The AI Education Gap and How to Close It.

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Exploring Vanishing and Exploding Gradients in Neural Networks

Analytics Vidhya

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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Understanding Overfitting in ConvNets

Analytics Vidhya

Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor performance on new data. This phenomenon is especially prevalent in complex neural architectures, which can model intricate relationships.

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Discover the power of Python for data science with Data Science Dojo

Data Science Dojo

Python has a wide range of applications in data science, including: Data analysis : Python is used to analyze data from various sources such as databases, CSV files, and APIs. Data visualization : Python has several libraries that can be used to create interactive and informative visualizations of data.