Pack of 7 Courses which is 100% hands-on. Contains 50+ Demos, 14 Projects. You also get Dataset and Code files required along with Video explanation/steps of the projects and demos. Also you will get highly structured video resources for the theory.
We will Learn :
Understand the concept of Explainable AI and uncover the blackbox nature of Artificial Neural Networks and visualize their hidden layers using GradCam technique.
Develop Deep Learning model to automate and optimize the brain tumor detection processes at a hospital.
Build and train AI model to detect and localize brain tumors using ResNets and ResUnet networks (Healthcare applications).
Understand the theory and intuition behind Segmentation models and state of the art ResUnet networks.
Build, train, deploy AI models in business to predict customer default on credit card using AWS SageMaker XGBoost algorithm.
Optimize XGBoost model parameters using hyperparameters optimization search.
Apply AI in business applications by performing customer market segmentation to optimize marketing strategy.
Basic knowledge of programming is recommended but not required.
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