Deep Learning - Deep Neural Network for Beginners Using Python - Introduction to Instructor

The instructor introduces themselves, highlighting over five years of teaching experience in computer and data science. They discuss the courses taught, including algorithms, data structures, and Python, as well as their involvement in industrial projects like AI tools. The instructor emphasizes Python's importance in data science, noting its rise in popularity since 2014-15. The course will focus on implementing deep learning from scratch using minimal libraries, specifically Numpy and Pandas. Students are encouraged to reach out with questions via email.

What subjects has the instructor taught during their five years of teaching experience?

• Art and Music

• Biology and Chemistry

• Algorithms and Data Structures

• History and Literature

What type of projects has the instructor worked on in the industry?

• E-commerce platforms

• Medical AI tools and data annotation tools

• Financial analysis tools

• Social media applications

What is the instructor's primary area of interest?

• Game Development

• Network Security

• Data Science and Deep Learning

• Web Development

Why did Python become an integral tool for data science according to the instructor?

• It was the easiest language to learn

• It provided significant support to data science

• It was the most expensive tool

• It was the only programming language available

Which libraries will be used in the course to implement deep learning concepts?

• Scikit-learn and Matplotlib

• PyTorch and Theano

• Numpy and Pandas

• TensorFlow and Keras