understanding the human brain and its importance of multiple layers in the Neural Network, extraction of features layers wise, configuration of the data in Deep Learning by using an image, speech, and text. Introduction to neurons is, where it is connected to weighted inputs, threshold values, and the output. You will be knowing the importance of weights, bias, summation, and functions.

Objective

• Human Brain – Introduction to Biological & Artificial Neuron
• Compositionality in Data – Images, Speech & text
• Mathematical Notations
• Introduction to ANN
• Neuron, Weights, Activation function, Integration function, Bias and Output

Case Studies

NA