AI will refine auto constructing and tuning of models

Since Google’s launch of AutoML last year, use of the AI tools to accelerate the process of constructing and tuning models is rapidly gaining popularity. This new approach to AI development allows automating the design of machine learning models and enables the construction of models without human input with one AI becoming the architect of another.

This year, experts expect growth in popularity of the commercial AutoML packages and integration of AutoML into large machine learning platforms.

After AutoML, a computer vision algorithm called NASNet was built to recognize objects in video streams in real time. The “reinforcement learning” on NASNet implemented with AutoML can train the model without humans showing better results when compared to the algorithms that require human input.

These developments significantly broaden the horizons for machine learning and will completely reshape the approach to model construction in the next years.

Cyber Attack Countermeasures : Module 4

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Rectangular Microstrip Patch Antenna

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