Spring Courses Open for Enrollment
15% discount on select winter & spring courses for all subscribers.Coronavirus (COVID-19) Update
Our courses are taught remotely through spring 2021. Please check our coronavirus update page for our latest announcements.
Course
Deep Learning and Artificial Intelligence with TensorFlow and Keras
Deep learning is a branch of Artificial Intelligence and Machine Learning that uses multi-layered neural networks to create highly accurate prediction models for tasks such as image recognition, object detection, language translation, speech recognition, and others. In this course, students will use open-source and industry-standard machine learning libraries, TensorFlow and Keras to build and deploy deep learning models.
Students will build deep learning prediction models of different complexities, from simple linear logistic regression to major categories of neural networks including convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTMs), and gated recurrent units (GRUs). By the end of the class, students will be proficient in best practices of using TensorFlow and Keras.
The class prepares students to pursue a career in data sciences and AI model development.
Topics Include:
- Deep learning and TensorFlow/Keras
- Multilayer perceptrons
- Advanced multilayer perceptrons
- Convolutional neural networks
- Image processing CNN architectures
- 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, comfortable with
an editor, familiarity with command-line operations on a laptop, and a basic understanding
of Machine Learning models.
Note(s): Students are required to bring laptops for the classroom and work with Python3/
Jupyter Notebook environment.
Prerequisite(s)
Course Availability Notification
Please use this form to be notified when this course is open for enrollment.
Course Inquiry
Ask us any questions you may have about this course.