This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @udacity.
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Aug 15, 2017 - HTML
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @udacity.
A repository of multiple projects and labs done in the Udacity Artificial Intelligence Nanodegree (aind).
Tibor Zahorecz product management projects.
Udacity Artificial Intelligence Nanodegree Projects
Projects from Udacity's Artificial Intelligence Nanodegree
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
Sign Language Recognition using Hidden Markov Models
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…
Use CNNs and Transfer Learning to predict dog breed from dog images
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.
Repository for the Planning Search project of the Udacity AI Nanodegree
This repo contains all the projects developed during my AIND journey.
This is the first project for Artificial Intelligence Nanodegree @udacity. Sudoku solver.
Solving Sudoku using constraint propagation and depth-first state-space search
Build a sign language recognition system using Hidden Markov Models
Machine Learning Engineer Capstone Project. Multi-Class Deep Learning Classification (CNN) to classify images in the Amazon Rainforest. Kaggle Competition.
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