Exact(2)
The next section begins with a description of the standard training approach for DNN acoustic models and continues the description of soft target training in greater detail for the DNN acoustic modeling case.
We have focused on a setting for soft target training in which large amounts of untranscribed data are available, as this is often the situation for many applications we are interested in.
Similar(58)
Designed to help workers upgrade skills in a downsizing job market, company-subsidized classes can offer targeted training in areas like management, business writing and high-skill manufacturing.
Reviews by Betcherman et al. (2004), Kuddo (2009) and Martin and Grubb (2001) report that the evidence suggests that tightly targeted training in small size programs for the unemployed have mostly positive impacts on raising employment probabilities151.
We have extended this soft target training framework in a new and useful way by pairing teacher and student networks that have different input representations.
This paper reports the development of a new product for unrestrained heart rate measurement to provide feedback and target training efforts in professional swimming.
This work adds to the growing empirical evidence that training with soft targets from an accurate teacher is an effective method of training NNs and extends the soft target training concept in a new and useful way by pairing teacher and student networks which have different input representations.
Care homes and hospitals dominate the place of death in the oldest old, suggesting a need to target training and resources in these organizations as the general population ages.
The Kulis [58] approach is best suited for scenarios where all of the classes are not represented in the target training data as demonstrated in test 2. The problem domain defined by Harel [46] is of limited labeled target data and multiple labeled data sources where an asymmetric transformation is desired for each source to resolve the mismatch in feature space.
The table is organized by targeted training recipient (in-patient provider, outpatient provider, facility/system administrator, sanitary-epidemiological staff, and community) and by echelon of care (rural, regional, or national).
The soft target training approach used in this paper proceeds as follows.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com