Pre-requisites
● Basic knowledge of linear algebra and calculus
● Knowledge of probability and statistics
● Programming experience in Python and OOP
● The ability to run programs and interpret output from a command line terminal or shell
Learning outcome
● To learn the mathematical basis of deep learning.
● To implement concepts such as multilayer perceptrons, backpropagation, optimization methods, and neural networks architectures such as CNN, RNN, Attention, GAN into a production-grade systems.
Immediate job market outcome
● ML engineer with focus on Deep Learning
● Jr. Data Scientist
Ideal participant profile
● Intermediate Python programming knowledge understanding of linear algebra, Probability and statistics, basic understanding of Machine learning who desires to be an ML engineer with knowledge of Deep Learning applications
Courses Duration: 3 Months
Session Length: 2 hours/week
Course Category:
Artificial Intelligence, Deep Learning
Course Format:
Online
Course Solution:
Data, Technology
Course Price:
Customer-Based
