Back to Basics: Debugging Techniques Bob Steagall CppCon 2021CppCon 2021 – Back to Basics: Debugging Techniques Copyright © 2021 Bob Steagall The Cost of Software Failures • January 2018, Tricentis’ salary -- $1.2T enterprise value lost for shareholders 2CppCon 2021 – Back to Basics: Debugging Techniques Copyright © 2021 Bob Steagall The Cost of Software Failures • Radiation overdoses from Therac-25 737 MAX MCAS system • System component design flaws 3CppCon 2021 – Back to Basics: Debugging Techniques Copyright © 2021 Bob Steagall Agenda • What are bugs? • What is debugging? • Challenges when

my thread: Techniques for moving work to background threads Anthony Williams Just Software Solutions Ltd https://www.justsoftwaresolutions.co.uk September 2020Get off my thread: Techniques for moving

Chapter 3 - Learning Techniques “The more that you read, the more things you will know. The more that you learn, the more places you'll go.” ― Dr. Seuss Model quality is an important benchmark to evaluate translation accuracy would garner better consumer support. In this chapter, our focus will be on the techniques that enable us to achieve our quality goals. High quality models have an additional benefit in first chapter, we briefly introduced learning techniques such as regularization, dropout, data augmentation, and distillation to improve quality. These techniques can boost metrics like accuracy, precision

Chapter 2 - Compression Techniques “I have made this longer than usual because I have not had time to make it shorter.” Blaise Pascal In the last chapter, we discussed a few ideas to improve the deep learning efficiency. Now, we will elaborate on one of those ideas, the compression techniques. Compression techniques aim to reduce the model footprint (size, latency, memory etc.). We can reduce the model reduce the number of layers and number of parameters, but this could hurt the quality. Compression techniques are used to achieve an efficient representation of one or more layers in a neural network with

Advanced Compression Techniques “The problem is that we attempt to solve the simplest questions cleverly, thereby rendering them unusually complex. One should seek the simple solution.” — Anton Pavlovich Pavlovich Chekhov In this chapter, we will discuss two advanced compression techniques. By ‘advanced’ we mean that these techniques are slightly more involved than quantization (as discussed in the second can help improve the quality of our models. Did we get you excited yet? Let’s learn about these techniques together! Model Compression Using Sparsity Sparsity or Pruning refers to the technique of removing

1 Dominik Grabiec - Techniques to Optimise Multi-threaded Data Building During Game Development - CppCon 2024Hello My name is Dominik Grabiec This talk is