Watch Beginner Deep Learning Tutorial | MNIST Digits Classification Neural Network in Python, Keras Video Tutorial


Tutorial Details & Info

Tutorial Title: Beginner Deep Learning Tutorial | MNIST Digits Classification Neural Network in Python, Keras
Instructor / Channel: Andreas Zinonos
Lesson Runtime: 30:20 Minutes
Publish Date: August 12, 2020
Total Students / Views: 45,097 views

Follow step-by-step with Beginner Deep Learning Tutorial | MNIST Digits Classification Neural Network in Python, Keras created by Andreas Zinonos. This full video course has a total duration of 30:20 minutes with detailed practical demonstrations. Access this full online lesson on any desktop PC, Mac, tablet, or smartphone.

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Course Description & Lesson Notes

Official Video Description:

In this beginner deep learning tutorial we will go through the entire process of creating a deep neural network in Python with Keras to classify handwritten digits. This is a problem which is trivial to a human but much more difficult for a machine, hence why we'll use some machine learning to solve it. We'll have a high-level overview of the problem, load the data in Python, pre-process the data, build the fully connected network, train and evaluate it on our data, plot a confusion matrix and finally take a look at the mis-classified data to see how they look like and think about why they were not classified correctly by the network. The only prerequisites for this tutorial are Python programming knowledge, and the will to learn ;) Everything else I'll explain on the way. Please let me know if you have any questions at all. Contents: 00:00 Introduction 01:19 High Level Overview Presentation 03:19 Creating a Google Colab Notebook 04:14 Imports 05:40 Data Preparation 13:18 Building the Fully Connected Network 15:48 Training 16:53 Evaluation and Inference 21:30 Plotting a Confusion Matrix 24:01 Investigating Errors 29:55 Conclusion Google Colab: https://colab.research.google.com Code: https://github.com/azinonos/MNIST_DL_Tutorial All My Social Links: https://linktr.ee/azinonos Follow me on instagram: https://www.instagram.com/andreaszinonos Follow me on twitter: https://twitter.com/#!/zin_onos Like my page on facebook: http://www.facebook.com/ZinonosAndreas Music Used: Joakim Karud - Classic

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Beginner Deep Learning Tutorial | MNIST Digits Classification Neural Network in Python, Keras taught by Andreas Zinonos. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Beginner Deep Learning Tutorial | MNIST Digits Classification Neural Network in Python, Keras.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Andreas Zinonos with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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