Lesson 1: Introduction to Machine Learning
o The domain of machine learning and its implications to the artificial intelligence sector
o the advantages of machine learning over other conventional methodologies.
Lesson 2: Deep Learning Techniques
o Introduction to Deep Learning within machine learning
o how it differs from all others methods of machine learning
o training the system with training data
o supervised and unsupervised learning
o classification and regression supervised learning
o clustering and association unsupervised learning
o the algorithms used in these types of learning.
Lesson 3 TensorFlow for Training Deep Learning Model
o Introduction to TensorFlowopen source software library for designing
o building and training Deep Learning models
o Python Library behind TensorFlow, Tensor Processing Unit (TPU) programmable AI accelerator by Google.
Lesson4: Introduction to Neural Networks
o Mapping the human mind with Deep Neural Networks
o the various building block of Artificial Neural Networks
o the architecture of DNN
o its building blocks
o the concept of reinforcement learning in DNN
o the various parameters, layers, activation functions and optimization algorithms in DNN.
Lesson 5 Using GPUs to train Deep Learning networks
o Introduction to GPUs and how they differ from CPUs
o the importance of GPUs in training Deep Learning Networks
o the forward pass and backward pass training technique
o the GPU constituent with simpler core and concurrent hardware.