Crash Course in Convolutional Neural Networks for Machine Learning

Crash Course in Convolutional Neural Networks for Machine Learning

Convolutional Neural Networks are a powerful artificial neural network technique. These networks preserve the spatial structure of the problem and were developed for object recognition tasks such as handwritten digit recognition. They are popular because people are achieving state-of-the-art results on difficult computer vision and natural language processing tasks. In this post you will discover […]

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Using Learning Rate Schedules for Deep Learning Models in Python with Keras

Using Learning Rate Schedules for Deep Learning Models in Python with Keras

Training a neural network or large deep learning model is a difficult optimization task. The classical algorithm to train neural networks is called stochastic gradient descent. It has been well established that you can achieve increased performance and faster training on some problems by using a learning rate that changes during training. In this post […]

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Rapidly Accelerate Your Progress in Applied Machine Learning With Weka

Rapidly Accelerate Your Progress in Applied Machine Learning With Weka

Why start with Weka over another tool like the R environment or Python for applied machine learning? In this post you will discover why Weka is the perfect platform for beginners interested in rapidly getting good at applied machine learning. After reading this post you will know: Why getting started in applied machine learning is hard. […]

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