projects for Udacity's AI nanodegree
-
Updated
Nov 9, 2023 - Python
projects for Udacity's AI nanodegree
A collection of starter bits for learning about various topics as well as an archive of school work
Tibor Zahorecz product management projects.
The dog application is the part of @udacity Artificial Intelligence Nanodegree. Here I am implementing CNN in Keras to classify dog breeds.
This project is a part of AIND @udacity. Here the RNN (Recurrent neural network) is used to generate text. The RNN is implemented using Keras.
My implementation of the AIND classical planning project. The required modifications are included in the "my_planning_graph.py". The comparison results among different algorithms (e.g., depth-first, breadth-first, A*, greedy, uniform-cost) with different heuristics (e.g., unmet goals, max-level, level-sum, set-level) in terms of actions, expansi…
Implementation of Udacity Nanodegree adversial search project using Monte Carlo Tree Search (MCTS). My implementation is a modification of the MCTS at "https://github.com/int8/monte-carlo-tree-search" to suit the project's knights isolation game. My implementation is in the "my_custom_player.py" file
🤖 Adversarial Search with AI, from Udacity AI Nanodegree
🤖 Classical Planning with AI, from Udacity AI Nanodegree
🤖 Solve Sudoku with AI, from Udacity AI Nanodegree
Machine Learning Engineer Capstone Project. Multi-Class Deep Learning Classification (CNN) to classify images in the Amazon Rainforest. Kaggle Competition.
Build an adversarial search agent to play the game "Isolation"
Use CNNs and Transfer Learning to predict dog breed from dog images
Build a sign language recognition system using Hidden Markov Models
Add a description, image, and links to the aind topic page so that developers can more easily learn about it.
To associate your repository with the aind topic, visit your repo's landing page and select "manage topics."