Archive | Deep Learning

What You Think You Know About Deep Learning Is A Lie

What You Know About Deep Learning Is A Lie

Getting started in deep learning is a struggle. It’s a struggle because deep learning is taught by academics, for academics. If you’re a developer (or practitioner), you’re different. You want results. The way practitioners learn new technologies is by developing prototypes that deliver value quickly. This is a top-down approach to learning, but it is not the way […]

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What is Deep Learning?

What is Deep Learning?

Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. If you are just starting out in the field of deep learning or you had some experience with neural networks some time ago, you may be confused. I know I was confused […]

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Understanding Stateful LSTM Recurrent Neural Networks in Python with Keras

Understanding Stateful LSTM Recurrent Neural Networks in Python with Keras

A powerful and popular recurrent neural network is the long short-term model network or LSTM. It is widely used because the architecture overcomes the vanishing and exposing gradient problem that plagues all recurrent neural networks, allowing very large and very deep networks to be created. Like other recurrent neural networks, LSTM networks maintain state, and […]

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Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras

Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras

Time series prediction problems are a difficult type of predictive modeling problem. Unlike regression predictive modeling, time series also adds the complexity of a sequence dependence among the input variables. A powerful type of neural network designed to handle sequence dependence is called recurrent neural networks. The Long Short-Term Memory network or LSTM network is […]

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