DHSITE 3311-G00. Introduction to Deep Learning
Intelligent species are capable of doing magnificent things mainly due to their Central Nervous System (CNS). The CNS is responsible for the low-level and high-level processing of information available in its surroundings. (Artificial) Neural Networks (ANNs) are an effort to replicate, in a machine, the type of processing the CNS carries out, and Deep (Artificial) Neural Networks (DNNs) achieve so by capturing complex non-linear relationships present in the data, through layers of information transformation.
In this course you will be introduced to the basics of neural network algorithms and acquire hands-on experience with a few archetypes of deep neural networks to tackle real world artificial intelligence tasks using Python and TensorFlow. The course does not require any prior knowledge or skills, only your curiosity.
Instructor: Ehsan Amjadian | Fri, 03:00 PM – 07:00 PM; Sat, 09:00 AM – 12:00 PM; 02:00 PM – 7 PM
Room: MRT0036 (65 University Private)
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