carpentries-lab/deep-learning-intro
Learn Deep Learning with Python
This lesson introduces PhD students to the fundamentals of deep learning. It takes participants through core concepts, building on existing knowledge of basic statistics and machine learning. The outcome is a foundational understanding of deep learning techniques, enabling scientists to begin applying these methods in their research.
Use this if you are a PhD student with some statistics and machine learning background who needs to learn the basics of deep learning.
Not ideal if you are looking for advanced deep learning topics or have no prior experience with statistics or machine learning.
Stars
39
Forks
47
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/carpentries-lab/deep-learning-intro"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
tensorflow/docs
TensorFlow documentation
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
GoogleCloudPlatform/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform...
menon92/DL-Sneak-Peek
Deep learning Bangla resources using TensorFlow
serengil/tensorflow-101
TensorFlow 101: Introduction to Deep Learning