Cutting Edge Deep Learning
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📕 Deep learning
📗 Reinforcement learning
📘 Machine learning
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🔻Recent Advances for a Better Understanding of Deep Learning

🖊By Arthur Pesah.

A summary of the newest deep learning trends, including Non Convex Optimization, Over-parametrization and Generalization, Generative Models, Stochastic Gradient Descent (SGD) and more.

🔹Current areas of deep learning theory research, by dividing them into four branches:
1. Non Convex Optimization
2. Overparametrization and Generalization
3. Role of Depth
4. Generative Models
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📌Via: @cedeeplearning
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link: https://www.kdnuggets.com/2018/10/recent-advances-deep-learning.html

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#linearnetworks #optimization
#SGD #neuralnetworks
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