This show starts a series of short talks introducing Deep Learning with Microsoft Cognitive Toolkit (CNTK). Topics covered in this series will range from elementary to advanced techniques. The intended audience includes:

• Data scientists who are new to deep learning
• Machine learning scientists looking for advanced techniques
• Engineers looking for means to scale and leverage cloud computing in Azure

Content:

• [03:40] - Deep Learning Made Easy - Optical Character Recognition Sample
• [04:12] - Test and Train dataset
• [06:45] - Logistic Regression
• [08:00] - Building classifier
• [09:00] - Weight matrix & Bias
• [11:05] - Activation function
• [13:27] - Logistic Regression with Softmax
• [14:40] - Error or Loss Function
• [18:05] - Train Workflow
• [25:10] - Prediction Workflow
• [27:15] - Where to begin?

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