Is Santa Real? Getting Started With Deep Learning In Python
TIMESTAMPS
00:00 Intro
02:09 Importing Dependencies and Examining Data
03:08 Preprocessing Data
03:08 How Deep Learning Models Work
07:53 Building The Model
10:55 Training The Model
12:43 Testing The Model
In this video we will be carrying out image classification by building a deep learning model in Python. For this we will be using the Keras library to build a convolutional neural network. This will be a friendly introduction to neural networks and deep learning for python programmers.
Link to Github with project notebook: https://github.com/marlenezw/is-santa-real-deep-learning-project
Link to Kaggle Dataset: https://www.kaggle.com/datasets/deepcontractor/is-that-santa-image-classification
Connect with me on social:
Twitter: https://twitter.com/marlene_zw
Mastodon: https://fosstodon.org/@Marlene
GitHub: https://github.com/marlenezw
LinkedIn: https://www.linkedin.com/in/marlenemh...
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: CV Basics
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Recursion Isn’t Hard. The Call Stack Is Invisible
Dev.to · N Satyadev
Understanding Core Probability Concepts in Machine Learning
Medium · Machine Learning
Kaggle Getting Started Competition -- Petals to the Metal
Dev.to AI
Understanding the Machine Learning Development Lifecycle (MLDLC)
Medium · AI
Chapters (7)
Intro
2:09
Importing Dependencies and Examining Data
3:08
Preprocessing Data
3:08
How Deep Learning Models Work
7:53
Building The Model
10:55
Training The Model
12:43
Testing The Model
🎓
Tutor Explanation
DeepCamp AI