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Deep Learning with TensorFlow

Winter Combo Offer

Event Description

This workshop will provide an understanding of Machine Learning concepts and skills required to develop and use deep neural network models using the Open Source TensorFlow platform. Participants will gain a deeper understanding of the Python programming language and Numpy library. The workshop will also provide a concise introduction to the mathematics required for a broader understanding of Machine Learning vis-à-vis Linear Algebra, Probability Theory and Multivariable Calculus.

Event Details/Highlights

Topics covered:

1. Machine Learning – A new data-driven programming paradigm

2. Supervised, Unsupervised and Reinforcement Learning

3. Multiclass classification and Regression

4. Dense Feedforward Neural Networks

5. Implementing dense layers in TensorFlow

6. Convolution Neural Networks

7. Implementing Convolution networks using TensorFlow

8. N-Dimensional array manipulation using Numpy, Broadcasting arrays

9. Implementing Linear Regression and Logistic Regression using Numpy

10. The Backpropagation algorithm

11. Vectorizing Backpropagation over mini batches

12. Regularization to avoid over-fitting

13. Hyper-parameter tuning and cross-validation

14. Transfer learning and auto-encoders

15. Application to Biomedical signal processing

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