DescriptionProgram StructureEligibilityContact
in this course you will learn more about deep learning techniques like
- Momentum:
- adaptive learning rate techniques like AdaGrad and RMSprop
- dropout regularization
- TensorFlow
- 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.
- 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)
Knowledge of Python, Numpy, and Matplotlib
