
# Mind and Machine Intelligence

FinTECHTalents 2018

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 bits/min billions 2000 6 billioncalculations/s ~100 a billion a billion embodiment 20 minutes 5 billion years 15 trillion years

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### Evolved Relationship

$\text{data} + \text{model} \xrightarrow{\text{compute}} \text{prediction}$

### From Model to Decision

 $\text{data} + \text{model} \xrightarrow{\text{compute}} \text{prediction}$

### DeepFace

Outline of the DeepFace architecture. A front-end of a single convolution-pooling-convolution filtering on the rectified input, followed by three locally-connected layers and two fully-connected layers. Color illustrates feature maps produced at each layer. The net includes more than 120 million parameters, where more than 95% come from the local and fully connected.

Source: DeepFace (Taigman et al., 2014)

### Systems Design

• decomposition
• data
• deployment

### References

Taigman, Y., Yang, M., Ranzato, M., Wolf, L., 2014. DeepFace: Closing the gap to human-level performance in face verification, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/CVPR.2014.220