Machine Learning
26 posts
Machine Learning
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How to Build Production-Level Machine Learning Systems
When building production-level machine learning systems, it's important to remember that the model is only a small part of a much larger ecosystem.…
TensorFlow
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Recurrent Neural Networks (RNNs) and LSTMs for Time Series Forecasting
In this article, we review how to use sequence models such as recurrent neural networks (RNNs) and LSTMs for time series forecasting with TensorFlow.…
Machine Learning
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Introduction to Sequences and Time Series Forecasting with TensorFlow
In this article, we'll introduce building time series models with TensorFlow, including best practices for preparing time series data.…
Deep Learning
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Introduction to Convolutional Neural Networks (CNNs) with TensorFlow
In this article, we'll review how to use TensorFlow for computer vision using convolutional neural networks (CNNs).…
Natural Language Processing
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Introduction to Natural Language Processing (NLP) with Python
In this guide we introduce the core concepts of natural language processing, including an overview of the NLP pipeline and useful Python libraries.…
Reinforcement Learning
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Implementing Deep Reinforcement Learning with PyTorch: Deep Q-Learning
In this article we will look at several implementations of deep reinforcement learning with PyTorch.…
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.…
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.…
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.…
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.…