Deep Learning and Artificial Intelligence with TensorFlow

Deep Learning is an advancement in machine learning technology that uses neural networks for building prediction models. In this course, students use TensorFlow, an open-source and industry standard library for machine learning developed by Google Brain.

TensorFlow allows distribution of computation across CPUs and multiple GPUs on a single computer—an enhancement that enables development of high-performance prediction models.

Students will build prediction models of different complexities, from simple linear logistic regression to convolutional neural network (CNN) and recurrent neural network (RNN) with long Short-term memory (LSTM).

By the end of the class, students have a working deep learning environment and sample projects. The class prepares students to pursue a career in data sciences.

Topics Include:

  • Deep learning and TensorFlow

  • Multilayer perceptrons

  • Advanced multilayer perceptrons

  • Convolutional neural networks

  • Recurrent neural networks

  • RNN - prediction with multilayer perceptron

  • RNN - prediction with long short term memory networks

Skills Needed: Moderate level of computer programming ability in Python and basic understanding of machine learning models.


Offering code Offering title
CMPR.X415 Python Programming for Beginners

Sections :

Section Start Date Time Location Cost Instructor Name Full Schedule Enroll
DBDA.X418.(4) 6/28/2018 06:30 PM SANTA CLARA 1020 Ravishankar N Chityala View Enroll
DBDA.X418.(6) 9/25/2018 06:30 PM SANTA CLARA 1020 Ravishankar N Chityala View Enroll
DBDA.X418.(7) 10/5/2018 06:30 PM SANTA CLARA 1020 Oswald Campesato View Enroll