- Notes and Books
- Research
- Technical blog posts
- Tutorials
I have enumerated the resources in the drop-down extensions below!
Notes and Books
Research
Technical blog posts
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- How to Do Data Exploration for Image Segmentation and Object Detection
- Tutorial-about-3D-convolutional-network
- A Review of Different Interpretation Methods in Deep Learning
- A Comprehensive Introduction to Different Types of Convolutions in Deep Learning
- Deep Semi-Supervised Learning
- Python Debugger (My Gist)
- Using Google Colab with GitHub
- Open a GitHub notebook in Colab
- NeurIPS 2020 ML Code Completeness Checklist
- How Docker Can Help You Become A More Effective Data Scientist
- Getting started open source
- Running a Jupyter notebook from a remote server
- Accessing external data from Google Colab notebooks
- How to prevent Google Colab from disconnecting?
- Documenting Python Code and Projects
- Which Machine Learning Algorithm Should You Use By Problem Type?
- Which analytics approaches to manage an Artificial Intelligence project? Quick guide for newbies.
- Ultimate AI Strategy Guide
- How I Built and Deployed a Fun Serverless Machine Learning App
- I trained a model. What is next?
- 10 tips to improve your machine learning models with TensorFlow
- Introducing DecaVision to train image classifiers with Google’s free TPUs
- Data Science as a Product
- Machine learning is going real-time