Hands-on Introduction to Artificial Intelligence (AI)
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- Fundamental concepts of Artificial Intelligence
- Be able to identify the positive and the negative impact that AI will create
- Clearly define what AI and Deep Learning
- Test Feed Forward Neural Networks(Classification and Regression) on Tensor Flow simulator and Google Colab
- Test Natural Language Processing (NLP) models using IBM Watson
- Build Convolutional Neural Network(CNN) on IBM Watson for MNIST and CIFAR 10 Datasets (No coding)
- Build Supervised and Unsupervised Machine learning Models using IBM Watson (No coding)
- Test Recurrent Neural Network (RNN) on Mathworks