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The DynamicStream has a set of methods and properties that allow you to create, access, read and write to the stream.
You can create and read from the stream.
You can start, pause, stop and restart playback.
You can access and read the bitrate and duration of the stream.
You can access the media data of the stream.
You can read and write the data of the stream.
When you need to retrieve the media data, you have the option to specify the bitrate at which to read the data.
You can also choose a range of data.
When you want to save the stream, you can specify the compression method.
When you want to read the media data, you can choose the bit rate at which to read the data and specify the range.
You can also choose a range of data.
When you write to the stream, you can specify the compression method.
When you write to the stream, you can specify a range.
Adobe ActionScript 3.0 Dynamic Streaming Class Expert Info:
For more information, refer to the expert guide.
Adobe ActionScript 3.0 Dynamic Streaming Class More Info:
For more information, refer to the developer reference.
Adobe ActionScript 3.0 Dynamic Streaming Class Source Code:
For more information, refer to the source code.
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Gastrointestinal infections in travelers returning to Europe: a prospective study of 51 cases.
During a 1-year period, the authors monitored a cohort of 100 travelers returning from Europe who sought consultation at the clinic of Tropical Medicine and Travel Medicine, Institute of Tropical Medicine, Antwerp, Belgium, for gastrointestinal complaints. Of the patients, 51 were hospitalized, 28 of whom had diarrhea or dysentery. The authors‘ results are compared with those of studies in which the same patient population was reported to other European centers. In this series, the most frequent pathogens recovered were Campylobacter jejuni, Salmonella spp, Shigella spp, and enteropathogenic Escherichia coli. The majority of patients (89%) received an antibiotic before hospitalization.Million Dollar Baby
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* – File name, through which will be imported data file.
* – Data dimensions.
* – Data type.
* – Data format.
* – Validation data.
* – Batch size.
* – Learning rate.
* – Learning speed.
* – Maximum number of epochs.
* – Maximum number of iterations.
* – Training error function.
* – Stabilization algorithm.
* – Training algorithm.
* – Number of epochs after stabilization.
* – Minimum number of epochs between two restarts.
* – Minimum number of iterations in between two restarts.
* – Minimum number of epochs after stabilization.
* – Restart action.
* – Extra training data.
* – Extra classifier data.
* – Extra evaluation data.
* – Extra data for validation.
* – Extra data for test.
* – Extra data for the same classifier.
* – Extra data for the same network.
* – Extra data for the same image.
* – Hidden neurons.
* – Hidden layers.
* – Output neurons.
* – Input neurons.
* – Input layers.
* – Weight initialization method.
* – Activation function.
* – Momentum.
* – Autotune.
* – Storage mode.
* – Alpha.
* – Input data.
* – Output data.
* – Network configuration.
* – Number of classes.
* – Initial class weights.
* – Final class weights.
* – Final loss weights.
* – Neural network inputs.
* – Outputs.
* – Binary data.
* – Neural network output.
* – Binary data output.
* – Neural network input file.
* – Output file.
* – Binary data file.
* – Hidden neurons input.
* – Hidden neurons output.