AI Sciences

Introduction to the Deep Neural Networks

Introduction To Instructor

Why Deep learning Networks (DNN)

Introduction To Machine Learning

Classification

Classification Exercise

Classification Solution

Classification Training Process And Prediction Probablities

Classification Prediction Probablities Exercise

Classification Prediction Probablities Exercise Solution

Regression

Regression Exercise

Regression Exercise Solution

Supervised Learning

UnSupervised Learning

Reinforcement Learning

Machine Learning Model

Machine Learning Model Example

Machine Learning Model Exercise

Machine Learning Model Exercise Solution

Machine Learning Model Types

Machine Learning Model Linearity

Machine Learning Model Linearity Exercise

Machine Learning Model Linearity Exercise Solution

Machine Learning Model Multi Target Models

Machine Learning Model Multi Target Models Exercise

Machine Learning Model Multi Target Models Exercise Solution

Machine Learning Model Training Exercise

Machine Learning Model Training Exercise Solution

Machine Learning Model Training Loss

Machine Learning Model Hyperparameters Exercise

Machine Learning Model Hyperparameters Exercise Solution

Machine Learning Occam's Razor

Machine Learning Overfitting

Machine Learning Overfitting Exercise

Machine Learning Overfitting Exercise Solution Regularization

Machine Learning Overfitting Generalization

Machine Learning Data Snooping

Machine Learning Cross Validation

Machine Learning Hypterparameter Tunning Exercise

Machine Learning Hypterparameter Tunning Exercise Solution

Introduction to Python

Introduction to IDE,Hello World

Introduction to Data Type, Numbers

Variable and Operators (Numbers)

Variables and Operators (Rational Operators and Functions)

Variables and Operators (String)

Variables and Operators (String and print Statement)

Lists(Indexing,Slicing-Built in Lists Functions)

Lists(Copying a List)

Tuples(Indexing,Slicing,Built in Tuple Functions)

Set(initialize,Built in Set Functions)

Dictionary

Logical Operator,Decision Making,For Loops,While Loops,Functions

Logical Operator,Decision Making,For Loops,While Loops,List Comprehension

Functions

Calculator Project

Python Packages for Data Science

NumPy Pandas and Matplotlib (Part 1)

NumPy Pandas and Matplotlib (Part 2)

NumPy Pandas and Matplotlib (Part 3)

NumPy Pandas and Matplotlib (Part 4)

NumPy Pandas and Matplotlib (Part 5)

NumPy Pandas and Matplotlib (Part 6)

DataSet Preprocessing

TensorFlow for classification

Why PyTorch

PyTorch Installation and Tensors Introduction

Automatic Diffrenciation Pytorch New

Why DNNs in Machine Learning

Representational Power and Data Utilization Capacity of DNN

Perceptron

Perceptron Exercise

Perceptron Exercise Solution

Perceptron Implementation

DNN Architecture

DNN Architecture Exercise

DNN Architecture Exercise Solution

DNN ForwardStep Implementation

DNN Why Activation Function Is Required

DNN Why Activation Function Is Required Exercise

DNN Why Activation Function Is Required Exercise Solution

DNN Properties Of Activation Function

DNN Activation Functions In Pytorch

DNN What Is Loss Function

DNN What Is Loss Function Exercise

DNN What Is Loss Function Exercise Solution

DNN What Is Loss Function Exercise 02

DNN What Is Loss Function Exercise 02 Solution

DNN Loss Function In Pytorch

DNN Gradient Descent

DNN Gradient Descent Exercise

DNN Gradient Descent Exercise Solution

DNN Gradient Descent Implementation

DNN Gradient Descent Stochastic Batch Minibatch

DNN Gradient Descent Summary

DNN Implemenation Gradient Step

DNN Implemenation Stochastic Gradient Descent

DNN Implemenation Batch Gradient Descent

DNN Implemenation Minibatch Gradient Descent

DNN Implemenation In PyTorch

DNN Weights Initializations

DNN Learning Rate

DNN Batch Normalization

DNN batch Normalization Implementation

DNN Optimizations

DNN Dropout

DNN Dropout In PyTorch

DNN Early Stopping

DNN Hyperparameters

DNN Pytorch CIFAR10 Example

COVID19 Data Analysis

COVID19 Regression with TensorFlow