Learning dynamics of neural networks: the good, the bad and the ugly Deep neural networks are almost always trained using a simple gradient based method such as Adam or SGD. Interestingly, in deep learning optimization and generalization are entangled. For […]
How ML Helps to Manage the Google Cloud Infrastructure When submitting a job to a cloud, a user specifies limits on the jobs’ resource usage. However, humans are notoriously bad at predicting, especially predicting non-tangible resources such as CPU cores […]
XAI + AutoML – new shiny toys During the talk I will present some new results in the area of eXplainable Artificial Intelligence and Automated ML. In the first part I will overview methods for local model exploration for tabular […]
