Last updated 8/2019MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.37 GB | Duration: 5h 43m
Learn Basics of Machine learning, Supervised , Unsupervised, FFNN, CNN, NLP, RNN
What you'll learn
Fundamental concepts of Artificial Intelligence
Be able to identify the positive and the negative impact that AI will create
Clearly define what is 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
Requirements
Basic knowledge of IT, Maths and Data
Description
Welcome to this exciting and eye opening course on Artificial Intelligence(Part 1) .