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About Rishi Mnist
The industrial training covered two deep learning problems - MNIST digit recognition and age, gender, ethnicity detection from human faces. For MNIST, a convolutional neural network was developed using Keras to classify handwritten digits with over 95% accuracy. For the second problem, techniques like convolutional neural networks and transfer learning were used to determine age, gender, and ethnicity by analyzing facial features. The training helped gain practical knowledge of machine learning algorithms and their applications in computer vision tasks.
Detailed Information
| Author: | ['natin'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 26 |
| Language: | English |
| Format: | |
| Price: | FREE |
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