ECE 176 – Introduction to Deep Learning and Applications – University California San Diego
University: University California San Diego
Credits: 4
Description: This course covers the fundamentals in deep learning, basics in deep neural network including different network architectures (e.g., ConvNet, RNN), and the optimization algorithms for training these networks. We will have hands-on implementation courses in PyTorch. This course will also introduce the deep learning applications in computer vision, robotics, and sequence modeling in natural language processing.Prerequisites:MATH 18 or MATH 31AH, or consent of instructor.
Available Course Reviews
Want to Review This Course? Start by Adding Your Professor
Reviews are tied to the professor who taught your class.
Step 1: Add the professor who taught your course.
Step 2: You’ll immediately be able to write your full review for future students.
Professor | Avg. Difficulty | Avg. Material Cost | Reviews | Delivery Mode |
---|