Episodes
Problems on Training Deep Neural Network
Published 04/16/21
Published 04/16/21
Overview about CNN
Published 04/15/21
Perceptron & Multi Layer Perceptron
Published 04/12/21
Types of Neural Network Architecture
Published 04/12/21
This Podcast is about Regularization & its Types
Published 04/10/21
This is about Optimizers & its Types. 
Published 04/07/21
It's about a Loss Function & its Types
Published 04/05/21
Its about Neural Network Layers and types
Published 04/05/21
Overview about Activation Function in neural network and its basic types
Published 04/05/21
Clear Cut explanation on FeedForward & Back Propagation vs Optimizers
Published 04/05/21
Overview on Neural Networks
Published 04/01/21
Confusion Matrix will be helpful to Evaluate the Model.
Published 03/31/21
Clustering & its Methods
Published 03/30/21
Its about Regression and its types
Published 03/29/21
Classification in A.I & its Types
Published 03/29/21
Overview about Weak, Strong & Super A.I
Published 03/29/21
Clear-cut explanation on Data and its Types 
Published 03/29/21
Clear cut explanation about Using Pre-Trained Model for Custom Dataset
Published 03/29/21
Short & Clearcut info about Bias, Variance & Tradeoff
Published 03/29/21
Clear-cut explanation on Major A.I Problems 
Published 03/29/21
Clear-cut Short info about Natural Language Processing, Natural Language Understanding & Natural Language Generation 
Published 03/29/21
Here you will learn basic overview about ML & DL in Clear-cut short
Published 03/29/21
Short info about Big Data & Data Science
Published 03/29/21
This Podcast will give an introduction to Artificial Intelligence
Published 03/29/21