AI Sciences

Intro to Instructor.mp4

Introduction to Course

Problem to Solve Part 1

Problem to Solve Part 2

Problem to Solve Part 3

Linear Equation

Linear Equation Vectorized

3D Feature Space

N Dimensional Space

Theory of Perceptron

Implementing Basic Perceptron

Logical Gates for Perceptrons

Perceptron Training Part 1

Perceptron Training Part 2

Learning Rate

Perceptron Training Part 3

Perceptron Algorithm

Coading Perceptron Algo (Data Reading & Visualization)

Coading Perceptron Algo (Perceptron Step)

Coading Perceptron Algo (Training Perceptron)

Coading Perceptron Algo (Visualizing the Results)

Problem with Linear Solutions

Solution to Problem

Error Functions

Discrete vs Continuous Error Function

Sigmoid Function

Multi-Class Problem

Problem of Negative Scores

Need of Softmax

Coding Softmax

One Hot Encoding

Maximum Likelihood Part 1

Maximum Likelihood Part 2

Cross Entropy

Cross Entropy Formulation

Multi Class Cross Entropy

Cross Entropy Implementation

Sigmoid Function Implementation

Output Function Implementation

Introduction to Gradient Decent

Convex Functions

Use of Derivatives

How Gradient Decent Works

Gradient Step

Logistic Regression Algorithm

Data Visualization and Reading

Updating Weights in Python

Implementing Logistic Regression

Visualization and Results

Gradient Decent vs Perceptron

Linear to Non Linear Boundaries

Combining Probabilities

Weighted Sums

Neural Network Architecture

Layers and DEEP Networks

Multi Class Classification

Basics of Feed Forward

Feed Forward for DEEP Net

Deep Learning Algo Overview

Basics of Back Propagation

Updating Weights

Chain Rule for BackPropagation

Sigma Prime

Data Analysis NN Implementation

One Hot Encoding (NN Implementation)

Scaling the Data (NN Implementation)

Splitting the Data (NN Implementation)

Helper Functions (NN Implementation)

Training (NN Implementation)

Testing (NN Implementation)

Underfitting vs Overfitting

Early Stopping

Quiz

Solution & Regularization

L1 & L2 Regularization

Dropout

Local Minima Problem

Random Restart Solution

Vanishing Gradient Problem

Other Activation Functions

Final Project Part 1

Final Project Part 2

Final Project Part 3

Final Project Part 4

Final Project Part 5