Training deep learning models efficiently on the cloud

Training deep learning models efficiently on the cloud

1.Storing data efficiently on the cloud   With Neural Concept Shape, you can use 3D numerical simulations as input to train your deep learning models. If we take the example of aerodynamic simulations, these CFD simulations results are usually much larger files...
On Deep Learning and Multi-objective Shape Optimization

On Deep Learning and Multi-objective Shape Optimization

Optimization is a fundamental process in many scientific and engineering applications. Optimizing a function comprises searching its domain for an input that results in the minimum or maximum value of the given objective. In the case where we have access to an ...
In-graph training loop

In-graph training loop

In a previous experiment, we have explored the behaviour and interaction between keras models, tf.functions, saved models and tf.dataset. A summary of this experiment is available here as a notebook.   As a follow up to this previous test, we compared the...
Deep Neural Network in simulations

Deep Neural Network in simulations

Deep learning and AI in general have taken the entire field of computer science by storm and has now become the dominant approach to solving a wide array of problems, ranging from winning board games to molecular discovery. However, Computer Assisted Design (CAD) and...

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