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*...Deep***learning**libraries assume a vectorized representation of your In the case of variable length sequence prediction problems, this requires that your data be transformed such that each sequence has the same This vectorization allows code ... - Jun 18, 2017Data Preparation for Variable Length Input Sequences for Sequence Prediction
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*...Deep***learning**neural networks are very easy to create and evaluate in Python with Keras, but you must follow a strict model In this post, you will discover the step-by-step life-cycle for creating, training, and evaluating Long Short-Term M ... - Jun 4, 2017How to Calculate Bootstrap Confidence Intervals For Machine Learning Results in Python
*... the expected skill of a machine***learning**model a well as confidence intervals for that model Confidence intervals provide a range of model skills and a likelihood that the model skill will fall between the ranges when making predictions on ... - Jun 1, 2017How to Report Classifier Performance with Confidence Intervals
*...Once you choose a machine***learning**algorithm for your classification problem, you need to report the performance of the model to This is important so that you can set the expectations for the model on new A common mistake is to report the c ... - May 30, 2017How to Evaluate the Skill of Deep Learning Models
*...ion about how to evaluate a deep***learning**This is often obvious from questions like: What random seed should I use? Do I need a random seed? Why don’t I get the same results on subsequent runs? In this post, you will discover the ... - May 28, 20177 Ways to Handle Large Data Files for Machine Learning
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*...etwork (RNN) that are capable of***learning**the relationships between elements in an input A good demonstration of LSTMs is to learn how to combine multiple terms together using a mathematical operation like a sum and outputting the result of ...