Tackle the Key Challenges of Building out Complex Deep Learning Systems
Many of the deep learning problems which industries are trying to tackle are complex. While it is relatively easy to build an early proof of concept (POC) of a system, it takes a huge amount of effort to build a solution that meets all functional and non-functional requirements
Join us for an on-demand webinar to learn how to tackle the challenges of scaling and building complex deep learning systems.
By attending this webinar, you'll learn:
- The key algorithmic challenges involved in large scale training
- The choice of the algorithm used for distributed training and the degradation of performance associated with large batch sizes
- Engineering challenges involved in designing and utilising large-scale training
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![[Nvidia Webinar] Deep Learning and Challenges of Scale](https://www.kdnuggets.com/em/2018/nvidia-webinar-dlscale-640.jpg)
