Welcome to the coffee table
The neural network was well into training for 42 hours. It all looked good - the gradients were flowing, the weights were updating, and the loss was decreasing. But then came the predictions for validation - all zeroes, no pattern recognized. "What did I do wrong?" -- I asked my computer, who didn't answer. I noticed the dull feeling of despair and hopelessness rise inside my chest. After some more debugging and wasting more of the precious working hours, I would usually rededicate myself to the books, tutorials, and courses I knew so well by then. Somewhere had to be a hint to what I was missing - there was not. To give me a boost and to stay well caffeinated, I would usually go and grab a coffee in the coffee kitchen. Standing there at the coffee table with other students, researchers, developers, and practitioners, I would soon find myself indulging in the soft, warm feeling of getting this issue off my chest. And this is where the magic happened. Either someone already had a similar issue and knew how to fix it. Someone had an idea of narrowing down what the issue's root actually is about. Someone realized there was a conceptional problem in the data set or the model.

Most of the time, what was shared at the coffee table were vague hints, interpretations and ideas, heuristics, best practices, experiences from applying deep learning in research and development. Over time we realized that some pitfalls, issues, and knowledge gaps were reoccurring in deep learning novices and were regularly brought to the coffee table while these students developed into deep learning engineers.
Shortly after, we were taking notes.

Throughout many sessions at the coffee table and hours of debugging, training, and evaluating deep learning approaches, researching and applying state-of-the-art concepts, we polished and enriched these notes with the great ideas that have been around and extensive [references] for further reading, based on our own experience. The result is this book. We hope it will be of use to you, too.

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• Computers & TechnologyProgrammingPattern Recognition
• Education & TeachingTeacher ResourcesComputers & Technology

• Publication Date: January 18, 2022
• Text-to-Speech: Disabled
• Lending: Disabled
• Print Length: 130 Pages
• File Size: 14 KB