Is Santa Real? Getting Started With Deep Learning In Python

Marlene Mhangami · Beginner ·📐 ML Fundamentals ·3y ago
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

Related AI Lessons

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
Up next
Rust DataOps: CI/CD and Containers for Data Pipelines
Coursera
Watch →