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Analyzing and Comparing Deep Learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain.

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Deep Learning Vision: Digitizing the World

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The body of knowledge and practice known as Deep Learning gives us a way to understand patterns, quantify relationships, and predict the future. Deep Learning helps us understand the world. The world is interconnected.

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Understanding Loss Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […].

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Advance Guide on Interview Questions of 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 inspired by the brain’s ability to learn. It is a data-driven approach to learning that can automatically extract features from data and build models to make predictions.

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Building a Brain Tumor Classifier using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning has paved its roots much more decisively in our daily lives. Similarly, deep learning has also evolved in […]. Similarly, deep learning has also evolved in […].

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Dropout Regularization in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The post Dropout Regularization in Deep Learning appeared first on Analytics Vidhya.

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A Comprehensive Guide on Deep learning for Computer vision

Analytics Vidhya

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.