https://github.com/szymon-budziak/fundamentals_of_deep_learning

Fundamentals of Deep Learning NVIDIA course.
https://github.com/szymon-budziak/fundamentals_of_deep_learning

deep-learning machine-learning numpy nvidia pandas python tensorflow

Last synced: 10 days ago
JSON representation

Fundamentals of Deep Learning NVIDIA course.

• Host: GitHub
• URL: https://github.com/szymon-budziak/fundamentals_of_deep_learning
• Owner: Szymon-Budziak
• License: mit
• Created: 2021-07-10T19:43:13.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-02-10T14:10:03.000Z (almost 3 years ago)
• Last Synced: 2024-11-25T04:13:06.038Z (2 months ago)
• Topics: deep-learning, machine-learning, numpy, nvidia, pandas, python, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 48.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Fundamentals of Deep Learning

Resources and notebooks from Fundamentals of Deep Learning Nvidia course. Final model has accuracy fo 97% in recognizing fresh and rotten fruits. Feel free to access files and work with the notebooks.

The goals of this course was to:

 - learn the fundamental techniques and tools required to train a deep learning model,

 - gain experience with common deep learning data types and model architectures,

 - enhance datasets through data augmentation to improve model accuracy,

 - leverage transfer learning between models to achieve efficient results with less data and computation.

## Certificate

![certificate](https://user-images.githubusercontent.com/75530523/153422648-adcbb514-0466-4dbf-aeb5-61bed80b67a8.jpg)