Implementing Deep Reinforcement Learning with PyTorch: Deep Q-Learning
In this article we will look at several implementations of deep reinforcement learning with PyTorch.
By
Peter Foy
Machine Learning
addtoexplore
By
Peter Foy
Machine Learning
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Directing App Users to Paid Subscriptions with Machine Learning
In this article, we build a machine learning model to predict the likelihood that app users will enroll in a paid subscription.
By
Peter Foy
Machine Learning
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Introduction to Deploying Machine Learning Models with Django
In this article we introduce key concepts of the Python-based framework called Django for deploying machine learning models.
By
Peter Foy
Deep Learning
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An Introduction to DeepDream with TensorFlow 2.0
DeepDream is a powerful computer vision algorithm that uses a convolutional neural network to find and enhance certain patterns in images.
By
Peter Foy
Machine Learning
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Introduction to Transfer Learning with TensorFlow 2.0
Transfer learning is a machine learning technique in which a pre-trained network is repurposed as a starting point for another similar task.
By
Peter Foy
Reinforcement Learning
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AI for Ecommerce: Maximizing Revenue with Thompson Sampling
In this guide we look at how we can maximize revenue for an eCommerce business using a reinforcement learning algorithm called Thompson sampling.
By
Peter Foy
Reinforcement Learning
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AI for Ecommerce: Optimizing Business Processes with Reinforcement Learning
In this article we look at how reinforcement learning can be used to optimize the business processes of an eCommerce warehouse.
By
Peter Foy
Mathematics of Machine Learning: Introduction to Probability Theory
In this article we introduce another important concept in the field of mathematics for machine learning: probability theory.
By
Peter Foy
Mathematics of Machine Learning: Introduction to Multivariate Calculus
Continuing in our Mathematics for Machine Learning series, in this article we introduce an importance concept in machine learning: multivariate calculus.
By
Peter Foy
Mathematics of Machine Learning: Introduction to Linear Algebra
In this article we introduce the first step in the mathematical foundation of machine learning: linear algebra.
By
Peter Foy
Deep Reinforcement Learning: Twin Delayed DDPG Algorithm
In this article we review a deep reinforcement learning algorithm called the Twin Delayed DDPG model, which can be applied to continuous action spaces.
By
Peter Foy
Machine Learning
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Tensor Processing Units (TPUs) for Accelerated Machine Learning
A Tensor Processing Unit (TPU) is a custom computer chip designed by Google specifically for deep learning.
By
Peter Foy