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TOPICS WE COVER Cloud Computing Scalability Architectural Practices Data Efficiency Black Box Problem Deep Learning Use Cases Transfer Learning Meta-Learning Feature Extraction Training from Scratch Back Propagation Learning Rate Decay LSTM Networks Deep Learning Algorithms Deep Neural Networks