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  1. Deep Learning Crash Course

    We would like to show you a description here but the site won’t allow us.

  2. Keep learning : Resources Tutorial on AI conferences (e.g. ICLR, NeurIPS ...) Your domain journals, find and track AI related papers, focus on how to apply DL to new problems Kaggle …

  3. Human-level-performance: ~ 100% detection rate Iterative process The key for deep learning is to decide what to do at each step Until meet the performance requirement

  4. Select a good learning rate from loss buffer Start main training loop with selected learning rate

  5. Deep Learning Crash Course

    Deep-wise convolution Depth-wise convolution is implemented with group convolution with G=C So 2D convolution for every input channel independently

  6. Managing machine learning experiments, trials, jobs and metadata using Amazon SageMaker ustrations. In this example, I’ll define a problem statement, formulate a hypothesis, create an …