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[su_tab title=”Description”]

in this course you will learn more about deep learning techniques like

1. Momentum:
2. adaptive learning rate techniques like AdaGrad and RMSprop
3. dropout regularization
4. TensorFlow
5. Theano library

This course focus more on topics like: Tensorflow & Theano. You will learn what are tensorflow & Theano Library variables, functions and expression and how to use these building blocks to create Neural network.

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[su_tab title=”Program Structure”]

• Outline, the MNIST dataset, and Linear (Logistic Regression) Benchmark
• Gradient Descent: Full vs Batch vs Stochastic
• Momentum and adaptive learning rates
• Theano
• TensorFlow
• Modern Regularization Techniques
• GPU Speedup and Homework
• Project: Facial Expression Recognition
• Appendix

Duration: 3 Hours

Mode: Online Instructor-Led

Fees: $ 120 (Please check website for discount)

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[su_tab title=”Eligibility”]

Knowledge of Python, Numpy, and Matplotlib

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[su_tab title=”Contact”]

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