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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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What is Adam Optimizer?

Analytics Vidhya

Introduction In deep learning, optimization algorithms are crucial components that help neural networks learn efficiently and converge to optimal solutions. appeared first on Analytics Vidhya.

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Transforming Healthcare: Project-based Deep Learning-Powered Survival Prediction

Analytics Vidhya

Introduction Predicting patient outcomes is critical to healthcare management, enabling hospitals to optimize resources and improve patient care. Machine learning algorithms or deep learning techniques have proven valuable in survival prediction rates, offering insights that can help guide treatment plans and prioritize resources.

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Optimization Essentials for Machine Learning

Analytics Vidhya

Where is Optimization used in DS/ML/DL? The post Optimization Essentials for Machine Learning appeared first on Analytics Vidhya. What are Convex […].

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What is Adam Optimizer and How to Tune its Parameters in PyTorch

Analytics Vidhya

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and its gentle computational requirements make it a versatile and efficient choice.

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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. In order to develop any deep learning model, one must decide on the most optimal values of […].

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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.