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Deep Learning Fundamentals

Track :

Artificial Intelligence

Lessons no : 10

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Lessons | 10

FDP Day 1 | AI Introduction | Overview of CRISP DM Model Data Types | TASK | 360DigiTMG

FDP Day 1 | AI Introduction | Overview of CRISP DM Model Data Types | TASK | 360DigiTMG

FDP Day 2 | CRISP DM Methodology | Feature Engineering | TASK | 360DigiTMG

FDP Day 2 | CRISP DM Methodology | Feature Engineering | TASK | 360DigiTMG

FDP Day 3 | Explanation on Models Performance Accuracy and Error Functions | TASK | 360DigiTMG

FDP Day 3 | Explanation on Models Performance Accuracy and Error Functions | TASK | 360DigiTMG

FDP Day 4 | Information Theory Entropy and Optimisation Techniques | TASK | 360DigiTMG

FDP Day 4 | Information Theory Entropy and Optimisation Techniques | TASK | 360DigiTMG

FDP Day 5 | Calculus Gradient Descent Data Compositionally Artificial Neural Network | TASK

FDP Day 5 | Calculus Gradient Descent Data Compositionally Artificial Neural Network | TASK

FDP Day 6 | What is a Neural Network | Python Types of Activation Functions | TASK | 360DigiTMG

FDP Day 6 | What is a Neural Network | Python Types of Activation Functions | TASK | 360DigiTMG

TASK FDP Day 7

FDP Day 8 | Exploratory Data Analysis | Logistic Regression | R Image Processing | TASK |360DigiTMG

FDP Day 8 | Exploratory Data Analysis | Logistic Regression | R Image Processing | TASK |360DigiTMG

TASK FDP Day 9

TASK FDP Day 10

TASK FDP Day 10

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Deep Learning Fundamentals course, in this course In this course, we'll explore the core concepts and techniques that underlie deep learning in neural networks.