Practical Deep Learning for Coders

Material for my Proctor of Fast.AI's course. This course is originally done by Jeremy Howard and Rachel Thomas, and is taught at the University by course alumni.

The course can be found here: https://course.fast.ai

The Fast.AI forums can be found at: https://forums.fast.ai

Name		Name	Last commit message	Last commit date
Latest commit History 82 Commits
Deployment_Tutorials		Deployment_Tutorials
Practice		Practice
01_Image_Classification.ipynb		01_Image_Classification.ipynb
01_intro.ipynb		01_intro.ipynb
02a_Custom_Image_Classification.ipynb		02a_Custom_Image_Classification.ipynb
02b_SOTA.ipynb		02b_SOTA.ipynb
03a_Tabular.ipynb		03a_Tabular.ipynb
03b_Baysian.ipynb		03b_Baysian.ipynb
03c_Pandas_Workshop.ipynb		03c_Pandas_Workshop.ipynb
04a_Image_Regression.ipynb		04a_Image_Regression.ipynb
04b_Rossmann.ipynb		04b_Rossmann.ipynb
04c_Permutation_Importance.ipynb		04c_Permutation_Importance.ipynb
04d_Advanced_Feature_Engineering.ipynb		04d_Advanced_Feature_Engineering.ipynb
05a_NLP.ipynb		05a_NLP.ipynb
05b_State_of_the_Art.ipynb		05b_State_of_the_Art.ipynb
05c_Experimentation.ipynb		05c_Experimentation.ipynb
06a_Segmentation.ipynb		06a_Segmentation.ipynb
07a_HumanNumbers.ipynb		07a_HumanNumbers.ipynb
07b_MNIST.ipynb		07b_MNIST.ipynb
08a_Callbacks.ipynb		08a_Callbacks.ipynb
08b_Optimizers.ipynb.ipynb		08b_Optimizers.ipynb.ipynb
09_General_Adversarial_Networks.ipynb		09_General_Adversarial_Networks.ipynb
10_Final_Thoughts_and_Further_Practice.ipynb		10_Final_Thoughts_and_Further_Practice.ipynb
10_Object_Detection.ipynb		10_Object_Detection.ipynb
DeployingModels.ipynb		DeployingModels.ipynb
README.md		README.md

dashpritam/Practical-Deep-Learning-For-Coders

Folders and files

Latest commit

History

Repository files navigation

Practical Deep Learning for Coders

About

Resources

Stars

Watchers

Forks

Languages