Course

Deep Learning and Artificial Intelligence with Keras


Deep Learning is an advancement in machine learning technology that uses neural networks for building prediction models. In this course, students use Keras, an open-source and industry standard library for machine learning developed by François Chollet and officially adopted by Google as a layer of abstraction on top of TensorFlow.

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

In this course, students 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, you’ll have a working deep learning environment and sample projects. The class prepares you to pursue a career in data science.

Topics Include:

  • Deep learning and Keras
  • Multilayer perceptrons
  • Advanced multilayer perceptrons
  • Convolutional neural networks
  • Recurrent neural networks
  • RNN - prediction with multilayer perceptron
  • LSTM - prediction with long short term memory networks

Skills Needed: Moderate level of computer programming ability in Python, comfortable with an editor, familiarity with basic command-line operations on a laptop, and basic understanding of Machine Learning models.

Note(s): Students are required to bring Laptops for classroom work. For best performance: students are asked to reinstall Python 3+ version of Anaconda distribution from https://www.anaconda.com/on their machines, if it is already loaded.

Prerequisite(s):


Sections Open for Enrollment:

Open Sections and Schedule
Start / End Date Units Location Cost Instructor
07-17-2019 to 09-18-2019 3.0 CLASSROOM $1020

Oswald A Campesato

Enroll

Schedule

Date: Start Time: End Time: Meeting Type: Location:
Wed, 07-17-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 07-24-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 07-31-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 08-07-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 08-14-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 08-21-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 08-28-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 09-04-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 09-11-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Wed, 09-18-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Open Sections and Schedule
Start / End Date Units Location Cost Instructor
10-04-2019 to 12-13-2019 3.0 CLASSROOM $1020

Oswald A Campesato

Enroll

Schedule

Date: Start Time: End Time: Meeting Type: Location:
Fri, 10-04-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 10-11-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 10-18-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 10-25-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 11-01-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 11-08-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 11-15-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 11-22-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 12-06-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA
Fri, 12-13-2019 6:30 p.m. 9:30 p.m. Classroom with Online Materials SANTA CLARA