icmlviz.github.io - 2017 Workshop on Visualization for Deep Learning

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2017 Workshop on Visualization for Deep Learning Accepted Papers Reference Schedule 2017 Workshop on Visualization for Deep Learning

Deep networks have had profound impact across machine learning research and in many application areas. DNNs are complex to design and train. They are non-linear systems that almost always have many local optima and are often sensitive to training parameter settings and initial state. Systematic optimization of structure and hyperparameters is possible e.g. with Bayesian optimization, but hampered by the expense of training each design on realistic datasets. Exploration is still ongoing for best design princ

The workshop has been held last year . This year, with the rise of generative modeling and reinforcement learning, more interesting directions like understanding and visualization of generative models, visual explanation for driving policy could be explored as well.

Links to icmlviz.github.io (2)

• byeah.github.io Biye Jiang
• liminxian.github.io Minxian Li's Homepage