Hello World Walkthrough
Examples Of Proteins
Plain language has been around in the government for over 40 years. Here are some examples, both historical and current. Before and after.
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PDF.js heavily relies on the use of Promises. If promises are new to you, it's recommended you become familiar with them before continuingon.
This tutorial shows how PDF.js can be used as a library in a web browser.examples/ provides more examples, including usage in Node.js (at examples/node/).
Document
The object structure of PDF.js loosely follows the structure of an actual PDF. At the top level there is a document object. From the document, more information and individual pages can be fetched. To get thedocument:
Remember though that PDF.js uses promises, and the above will return a PDFDocumentLoadingTask instance that has a promise property which is resolved with the documentobject.
Page
Examples Of Pronouns
Now that we have the document, we can get a page. Again, this usespromises.
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Rendering the Page
Each PDF page has its own viewport which defines the size in pixels(72DPI) and initial rotation. By default the viewport is scaled to the original size of the PDF, but this can be changed by modifying the viewport. When the viewport is created, an initial transformation matrix will also be created that takes into account the desired scale, rotation, and it transforms the coordinate system (the 0,0 point in PDF documents the bottom-left whereas canvas 0,0 istop-left).
Alternatively, if you want the canvas to render to a certain pixel size you could do thefollowing:
Interactive examples
Hello World with document load errorhandling
The example demonstrates how promises can be used to handle errors during loading.It also demonstrates how to wait until page loaded andrendered.
Hello World using base64 encodedPDF
The PDF.js can accept any decoded base64 data as anarray.
Examples Of Resumes
Previous/Next example
The same canvas cannot be used to perform to draw two pages at the same time –the example demonstrates how to wait on previous operation to becomplete.
Our code examples are short (less than 300 lines of code), focused demonstrations of vertical deep learning workflows.
All of our examples are written as Jupyter notebooks and can be run in one click in Google Colab,a hosted notebook environment that requires no setup and runs in the cloud. Google Colab includes GPU and TPU runtimes.
Computer Vision
Natural language processing
Structured Data
Timeseries
Audio Data
Generative Deep Learning
Reinforcement learning
Quick Keras recipes
Adding a new code example
We welcome new code examples! Here are our rules:
- They should be shorter than 300 lines of code (comments may be as long as you want).
- They should demonstrate modern Keras / TensorFlow 2.0 best practices.
- They should be substantially different in topic from all examples listed above.
- They should be extensively documented & commented.
New examples are added via Pull Requests to the keras.io repository.They must be submitted as a .py file that follows a specific format. They are usually generated from Jupyter notebooks.See the tutobooks documentation for more details.
