#neural network optimization

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Adam Optimization algorithms in Deep Learning

Adam Optimization algorithms in Deep Learning

This post we will talk about another optimization technique. We are always looking to optimize model performance mostly by reducing the cost function associated with the model. There are several optimization algorithms that can help us improve model performance. One of the most popular is the Adam optimization algorithm. This algorithm has risen to prominence in recent years, particularly in the…

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Implementing Drop Out Regularization in Neural Networks

In previous post about basic hyperparameter tuning, we discussed how they can affect models by causing overfitting or underfitting. In Machine Learning algorithms, a very popular phrase is the variance-bias tradeoff. Whenever a model has a high variance and low bias, it is said to be overfitted. This simply means that the model performs very well on the training set, but does not maintain this…

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Best Quality Assurance, Test and Compliance Software

Best Quality Assurance, Test and Compliance Software

C O N T E N T S: KEY TOPICS Primary responsibilities are managing the work of Associate SQA Analysts, writing test plans and scripts, performing testing on new software development and changes to existing software ensuring compliance to company standards and end-user requirem.(More…) Regular compliance and quality tracking ensuring identifications of defects and explicit compatibility…

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