Udacity - AI Programming with Python Nanodegree nd089 v1.0.0
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FilesDescriptionLearn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra—the foundations for building your own neural network.
Code:Part 01-Module 01-Lesson 01_Welcome to AI Programming with Python Part 02-Module 01-Lesson 01_Why Python Programming Part 02-Module 01-Lesson 02_Data Types and Operators Part 02-Module 01-Lesson 03_Control Flow Part 02-Module 01-Lesson 04_Functions Part 02-Module 01-Lesson 05_Scripting Part 02-Module 02-Lesson 01_Lab Classifying Images Part 03-Module 01-Lesson 01_Anaconda Part 03-Module 01-Lesson 02_Jupyter Notebooks Part 03-Module 01-Lesson 03_NumPy Part 03-Module 01-Lesson 04_Pandas Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1 Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2 Part 04-Module 01-Lesson 01_Introduction Part 04-Module 01-Lesson 02_Vectors Part 04-Module 01-Lesson 03_Linear Combination Part 04-Module 01-Lesson 04_Linear Transformation and Matrices Part 04-Module 02-Lesson 01_Vectors Lab Part 04-Module 02-Lesson 02_Linear Combination Lab Part 04-Module 02-Lesson 03_Linear Mapping Lab Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks Part 05-Module 01-Lesson 01_Introduction to Neural Networks Part 05-Module 01-Lesson 02_Implementing Gradient Descent Part 05-Module 01-Lesson 03_Training Neural Networks Part 05-Module 01-Lesson 04_Deep Learning with PyTorch Part 06-Module 01-Lesson 01_ Create Your Own Image Classifier Part 07-Module 01-Lesson 01_How Do I Continue From Here Part 08-Module 01-Lesson 01_What is Version Control Part 08-Module 01-Lesson 02_Create A Git Repo Part 08-Module 01-Lesson 03_Review a Repo's History Part 08-Module 01-Lesson 04_Add Commits To A Repo Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging Part 08-Module 01-Lesson 06_Undoing Changes Part 08-Module 02-Lesson 01_Working With Remotes Part 08-Module 02-Lesson 02_Working On Another Developer's Repository Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository Part 09-Module 01-Lesson 01_Shell Workshop Part 10-Module 01-Lesson 01_Intro Part 10-Module 01-Lesson 02_Linear Regression Part 10-Module 01-Lesson 03_Logistic Regression Part 10-Module 01-Lesson 04_Decision Trees Part 10-Module 01-Lesson 05_Naive Bayes Part 10-Module 01-Lesson 06_Support Vector Machines Part 10-Module 01-Lesson 07_Ensemble Methods Part 10-Module 01-Lesson 08_Outro Part 11-Module 01-Lesson 01_Visualizing The Importance Of The Learning Rate TrackersTorrent hash: 22C596CDD2D199DA2E53AFD0E81242F0E0F3F512 |
