February 2019
Intermediate to advanced
260 pages
6h 3m
English
The main source of knowledge for deep learning algorithms is data. Therefore, the quality and the amount of data greatly affects the performance of every algorithm.
For speech recognition, we have a decent amount of data, considering the complexity of the problem. Although the dataset for the images has dramatically improved, having a few more samples will help achieve better results for image recognition. On the other hand, when it comes to object detection, we have less data due to the complexity in the effort of marking each of the objects with a bounding box as shown in the diagram.
Computer vision is, in itself, a really complex problem to solve. Imagine having a bunch of pixels with ...
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