What is the most important recent development in machine learning? My answer is that **gradient descent with backpropagation** (GD with backprop) and **neural networks** with **many fewer than 100 layers** are now both more accessible to practitioners with only a **moderate amount of computing resources** (as in 1 GPU and 4 T4 cores or even less). This is achieved through **automated machine learning** (AutoML) and **efficient neural network architecture search** (ENAS), which are both part of **Cloud AutoML**. For more details, please see [What's New in Machine Learning](https://github.com/awslabs-governance-documents/issues/2142838383), which was posted on May 30, 2019 and discussed at the recent AWS AI/ML Festa workshop in Santa Clara, CA, on June 4–5, 2019. |So what is the most important recent development in machine learning? My answer is that **gradient desce
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"Smile, life is beautiful!"
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A serene mountain landscape with a tranquil lake reflecting the majestic peaks. The gentle ripples on the water's surface create a soothing atmosphere, inviting contemplation and inner peace. The lush greenery surrounding the lake adds a touch of freshness and vitality to the scene, while the distant mountains stand tall, offering a sense of stability and guidance.
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