Artificial Intelligence

This Podcast will give you short & Clear-cut information about A.I & its Terms

A.I EP-24 | Vanishing & Exploding gradient

Problems on Training Deep Neural Network

04-16
03:27

A.I EP-23 | Convolutional Neural Network

Overview about CNN

04-15
04:28

A.I EP-22 | Perceptron & MLP

Perceptron & Multi Layer Perceptron

04-12
01:31

A.I EP-21 | Neural Network Architecture

Types of Neural Network Architecture

04-12
01:21

A.I EP-20 | Regularization

This Podcast is about Regularization & its Types

04-10
01:30

A.I EP-19 | Optimizers

This is about Optimizers & its Types. 

04-07
01:06

A.I EP-18 | Loss Function & Types

It's about a Loss Function & its Types

04-05
01:20

A.I EP-17 | Layers

Its about Neural Network Layers and types

04-05
04:24

A.I EP-16 | Activation Function

Overview about Activation Function in neural network and its basic types

04-05
03:18

A.I EP-15 | Feed Forward & Back Propagation

Clear Cut explanation on FeedForward & Back Propagation vs Optimizers

04-05
01:20

A.I EP-14 | Neural Network

Overview on Neural Networks

04-01
03:10

A.I EP-13 | Confusion Matrix

Confusion Matrix will be helpful to Evaluate the Model.

03-31
03:46

A.I EP-12 | Clustering

Clustering & its Methods

03-30
06:27

A.I EP-11 | Regression

Its about Regression and its types

03-29
03:34

A.I EP-10 | Classification

Classification in A.I & its Types

03-29
03:58

A.I EP-09 | Weak, Strong & Super A.I

Overview about Weak, Strong & Super A.I

03-29
02:00

A.I EP-08 | Data in A.I

Clear-cut explanation on Data and its Types 

03-29
04:35

A.I EP-07 | Transfer Learning

Clear cut explanation about Using Pre-Trained Model for Custom Dataset

03-29
02:42

A.I EP-06 | Bias, Variance & Tradeoff

Short & Clearcut info about Bias, Variance & Tradeoff

03-29
03:31

A.I EP-05 | Underfitting & Overfitting

Clear-cut explanation on Major A.I Problems 

03-29
02:45

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