CartPole problem solved using two Reinforcement learning algorithms (DQN and SARSA) with two policies (epsilon-greedy and Boltzmann), with results.
The goal of this project is to predict the expression on the face. The expression labels are standard ones used in psychology research: angry, disgusted, fearful, happy, sad, surprised, neutral.
AI Blog
The repository concerns the use of optimization techniques in Machine Learning projects. Application examples and explanations. A wide spectrum of algorithms and resources.
A simple Neural Network.
This is a game that use Neural Network to detect hand sign, and then applied it to play T-Rex game
This project aim to implementation of Deep Autoencoder with Keras, this project use fashion mnist dataset from keras Fashion mnist is a dataset of 60,000 28x28 grayscale images of 10 fashion categories, along with a test set of 10,000 images. This dataset can be used as a drop-in replacement for MNIST.
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