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A Comprehensive Guide on Deep Learning Optimizers

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Deep learning is the subfield of machine learning which is used to perform complex tasks such as speech recognition, text classification, etc. A deep learning model consists of activation function, input, output, hidden layers, loss function, etc.

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Impact of Hyperparameters on a Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction- Hyperparameters in a neural network A deep neural network consists of multiple layers: an input layer, one or multiple hidden layers, and an output layer. The post Impact of Hyperparameters on a Deep Learning Model appeared first on Analytics Vidhya.

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Tuning the Hyperparameters and Layers of Neural Network Deep Learning

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. The post Tuning the Hyperparameters and Layers of Neural Network Deep Learning appeared first on Analytics Vidhya.

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Complete Guide to Gradient-Based Optimizers in Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Neural Networks, we have the concept of Loss Functions, The post Complete Guide to Gradient-Based Optimizers in Deep Learning appeared first on Analytics Vidhya.

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Introduction to Linear Model for Optimization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Optimization Optimization provides a way to minimize the loss function. Optimization aims to reduce training errors, and Deep Learning Optimization is concerned with finding a suitable model. In this article, we will […].

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A Comprehensive Guide on Neural Networks Performance Optimization

Analytics Vidhya

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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Optimize your optimizations using Optuna

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Optuna is a state-of-the-art automatic hyperparameter tuning framework that is completely written in Python. The post Optimize your optimizations using Optuna appeared first on Analytics Vidhya.