A Practical Guide to Deep Learning: From Data to Deployment

Deep learning is used to develop models that can find patterns in data. But it isn’t the only method capable of doing this. So when is deep learning the best option for solving practical engineering problems?

Find the answers in this guide, which explores how deep learning can be particularly useful in engineering applications where traditional methods fall short. You will also see how to prepare the data and deep neural networks in order to produce an accurate model in production.