Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine learning. NAS has been used to design networks that are on par or outperform hand-designed architectures.
Read moreWhat is differentiable neural architecture search?
DNAS, or Differentiable Neural Architecture Search, uses gradient-based methods to optimize ConvNet architectures, avoiding enumerating and training individual architectures separately as in previous methods .
Read moreWhat is multi step ahead forecasting?
Multistep-ahead prediction is the task of predicting a sequence of values in a time series . A typical approach, known as multi-stage prediction, is to apply a predictive model step-by-step and use the predicted value of the current time step to determine its value in the next time step.
Read moreWhat is one step ahead forecasting?
One-step ahead forecasts are computed sequentially for each data point by using computed level and trend states for the current point, and seasonal states for the last seasonal period . Forecast error is computed by subtracting forecast value at the previous point from the observed value at the current point.
Read moreWhat is time series forecasting methods?
Time series forecasting occurs when you make scientific predictions based on historical time stamped data . It involves building models through historical analysis and using them to make observations and drive future strategic decision-making.
Read moreWhat is Horizon in time series forecasting?
The forecast horizon is the length of time into the future for which forecasts are to be prepared . These generally vary from short-term forecasting horizons (less than three months) to long-term horizons (more than two years).
Read moreHow do I install MXNet?
Step 1 Install Docker on your machine by following the docker installation instructions . Note – You can install Community Edition (CE) to get started with MXNet. Step 2 Pull the MXNet docker image. You can list docker images to see if mxnet/python docker image pull was successful.
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