Sequence Modeling with CTC
Published:Nov 27, 2017 20:00
•1 min read
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Analysis
The article introduces Connectionist Temporal Classification (CTC), an algorithm for training deep neural networks in sequence problems like speech and handwriting recognition. It's a visual guide, suggesting an accessible explanation of a technical topic.
Key Takeaways
- •Focuses on Connectionist Temporal Classification (CTC).
- •CTC is used for training deep neural networks.
- •Applicable to sequence problems like speech and handwriting recognition.
- •Presented as a visual guide, implying ease of understanding.
Reference
“A visual guide to Connectionist Temporal Classification, an algorithm used to train deep neural networks in speech recognition, handwriting recognition and other sequence problems.”