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 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 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 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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