A Beginner's Guide to Deep Learning

INTERACTIVE COURSE

A Beginner's Guide to Deep Learning

Beginner

63 Lessons

20h

Certificate of Completion

A Beginner's Guide to Deep Learning

2 Assessments

57 Playgrounds

13 Challenges

20 Quizzes

159 Illustrations

Course Overview

This beginner level and highly comprehensive course is intended for learners who are familiar with Python programming. You will become familiar with the fundamental concepts and terminologies used in deep learning. In addition, this course will help you understand the importance of deep learning techniques. You will examine simple models like perceptron before learning more complex yet powerful deep learning models. The course will provide hands-on practical knowledge of how to code simple and complex deep ...Show More

Course Content

1

✨Before We Begin

About this Course

Learning Outcomes

2

✨Introduction to Deep Learning

Fundamentals of Machine Learning Machine Learning Paradigms

What is Deep Learning?Programming Paradigm

3

✨Simple Perceptron Models in NumPY

Introduction to Perceptron Coding the Perceptron Forward Propagation Discrete vs. Continuous Prediction 🍀 Challenge: Use the Sigmoid Activation Function Solution Review: Use the Sigmoid Activation Function The Error Function Challenge: Scaling Error Up to Multiple Data Points Solution Review: Scaling Error Upto Multiple Data Points Optimizing the Perceptron Output Gradient Descent: Stochastic vs. Batch Update Gradient Descent: The Stochastic Update Gradient Descent: The Batch Update Perceptrons as Logical Operators 🍀 Challenge: Classification Using IRIS DataSet Solution Review: Classification Using IRIS DataSet 🔩 Problems with Gradient Descent and the Fix

4

✨Towards Deep Neural Networks in NumPY

Introduction to Non-Linear Boundaries Neural Network Feed Forward Propagation BackPropagation 🍀 Challenge: Train the XOR Multilayer Perceptron Solution Review: Train the XOR Multilayer Perceptron Activation Functions Deep Neural Network

5

🖥️ Project: Build a Letter Classification Model

Introduction to the Letter Classification Data Set 🍀 Challenge: Forward Propagation - 3 Layered Neural Network Solution Review: Forward Propagation - 3 Layered Neural Network 🍀 Challenge: Backpropagation - 3 Layered Neural Network Solution Review: Backpropagation - 3 Layered Neural Network 🍀 Challenge: Training - 3 Layered Neural Network Solution Review: Training - 3 Layered Neural Network Making Predictions

Deep Learning in NumPy Exam

Assessment

6

✨Building Deep Learning Models with Keras

11 Lessons

7

✨Fine-tune Keras Model

8 Lessons

8

🖥️ Project: Build a Digit Recognition Model

4 Lessons

9

✨Conclusion

2 Lessons

Deep Learning in Keras Exam

Assessment

COURSE AUTHOR

How You'll Learn

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