Explore the world of Artificial Intelligence projects in this comprehensive tutorial. Learn about image processing, Convolutional Neural Networks (CNN), gradient descent, time series forecasting, Artificial Neural Networks (ANN), and Recurrent Neural Networks (RNN). Discover how to apply deep learning for stock prediction and use ANNs to analyze bank defaults. Gain practical insights into AI applications across various domains, from image recognition to financial forecasting, and understand the fundamental concepts driving these technologies.
Overview
Syllabus
- Introduction.
- Agenda.
- What is Image Processing.
- CNN.
- Gradient descent.
- Time Series forecasting.
- ANN Model.
- RNN Model.
- Summary .
Taught by
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