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Keeping Learning-Based Control Safe by Regulating Distributional Shift

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

To regulate the distribution shift experience by learning-based controllers, we seek a mechanism for constraining the agent to regions of high data density throughout its trajectory (left). Here, we present an approach which achieves this goal by combining features of density models (middle) and Lyapunov functions (right). In order to make use of machine learning …

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How to Calculate Precision Recall F1 and More for Deep Learning Models

How to Calculate Precision, Recall, F1, and More for Deep Learning Models

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Tweet Tweet Share Share Last Updated on August 23, 2022 Once you fit a deep learning neural network model, you must evaluate its performance on a test dataset. This is critical, as the reported performance allows you to both choose between candidate models and to communicate to stakeholders about how good the model is at …

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Last call: Stefan Krawcyzk’s ‘Mastering MLOps’ Live Cohort

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Tweet Tweet Share Share Last Updated on August 19, 2022 Sponsored Post   This is your last chance to sign up for Stefan Krawczyk’s exclusive live cohort, starting next week (August 22nd). We already have students enrolled from Apple, Amazon, Spotify, Nubank, Workfusion, Glassdoor, ServiceNow, and more. Stefan Krawczky has spent the last 15+ years …

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Why Initialize a Neural Network with Random Weights

Why Initialize a Neural Network with Random Weights?

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Tweet Tweet Share Share Last Updated on August 15, 2022 The weights of artificial neural networks must be initialized to small random numbers. This is because this is an expectation of the stochastic optimization algorithm used to train the model, called stochastic gradient descent. To understand this approach to problem solving, you must first understand …

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When to Use MLP CNN and RNN Neural Networks

When to Use MLP, CNN, and RNN Neural Networks

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Tweet Tweet Share Share Last Updated on August 15, 2022 What neural network is appropriate for your predictive modeling problem? It can be difficult for a beginner to the field of deep learning to know what type of network to use. There are so many types of networks to choose from and new methods being …

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