HomeCoursesA Beginner's Guide to Deep Learning

4.4

Beginner

20h

Updated 5 months ago

A Beginner's Guide to Deep Learning

Gain insights into deep learning fundamentals, explore perceptron and advanced models, and discover practical coding in NumPy and Keras. Test your knowledge with quizzes and coding challenges.

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Overview

Content

Reviews

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 learning models in NumPy, a powerful Python library and Keras, a cutting-edge library for deep learning in Python. You can test your knowledge with the quizzes that are provided at the end of every lesson and coding challenges that will help you gain a higher understanding. By the end of the course, you should have a general understanding of the basics in deep learning and you will be equipped with the right tools to learn more advanced concepts.

This beginner level and highly comprehensive course is intended for learners who are familiar with Python programming. You will ...Show More

TAKEAWAY SKILLS

Machine learning fundamentals

Machine learning paradigms

Deep learning basics

Perceptron

Gradient descent

Activation functions

Deep neural networks

Neural networks

Deep learning models in Keras

Fine-tuning models in Keras

Content

63 Lessons20 Quizzes2 Assessments13 Challenges

✨Before We Begin

2 Lessons

Get familiar with the basics of deep learning and practical Python coding skills.

About this Course

Learning Outcomes

✨Introduction to Deep Learning

4 Lessons

Grasp the fundamentals of machine learning paradigms, deep learning principles, and neural networks.

Fundamentals of Machine Learning

Machine Learning Paradigms

What is Deep Learning?

Programming Paradigm

✨Simple Perceptron Models in NumPY

16 Lessons

Work your way through perceptron models, coding, prediction methods, and optimization techniques using NumPy.

✨Towards Deep Neural Networks in NumPY

8 Lessons

Break down the steps to foundational concepts of neural networks and their training processes.

🖥️ Project: Build a Letter Classification Model

8 Lessons

Solve problems in building and training a letter classification model with deep learning.

Deep Learning in NumPy Exam

Assessment

✨Building Deep Learning Models with Keras

11 Lessons

Tackle building, compiling, training, evaluating, and utilizing deep learning models using Keras.

✨Fine-tune Keras Model

8 Lessons

Master the steps to optimize, validate, and hypertune deep learning models for improved accuracy.

Anomaly Detection in Medical Images: Python, TF, and PyTorch

Project

Premium

🖥️ Project: Build a Digit Recognition Model

4 Lessons

Try out building and evaluating a digit recognition model using the MNIST dataset.

✨Conclusion

2 Lessons

Walk through the key points of ANNs, RNNs, and CNNs and their applications.

Deep Learning in Keras Exam

Assessment

Purchase Price Prediction for Used Cars Using Deep Learning

Project

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

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AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

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AI Code Mentor

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