Deep Learning

Introduction to Deep Learning (lecture no 1)
Perceptron Learning Algorithm (lecture no 2)
Neural Networks Basics (lecture no 3)
Shallow Neural Networks (lecture no 4)
Deep Neural Networks (lecture no 5)
Introduction to TensorFlow (lecture no 6)
TensorFlow Deep Dive (lecture no 7)
Keras and Deep Learning Libraries (lecture no 8)
Understanding Back Propagation (lecture no 9)
Convolutional Neural Networks (lecture no 10)
Recurrent Neural Networks (lecture no 11)
Generative Adversarial Networks (lecture no 12)
Object Detection (lecture no 13)
Deploying a Sentiment Analysis Model/Different Deep Learning Model (lecture no 14,15)