Neural network game tutorials +745+

Tutorial - Evolving Neural Networks with SharpNEAT 2 (Part 1) The Neuro-Evolution via Augmenting Topologies (NEAT) Each network plays 10 games against the /// random player and two games against the expert player. Half of the /// games are played as circle and half are played as x. Neural Network taught to play Nokia 3310 type snake game, by proper selection and mutation Evolutionary Algorithm to Teach a NeuralNetwork to Play a Snake Game. hemanthk119, The developer of a browser game had a spaghetti code if-else 'AI' and I made a simple evolutionary version as an Recurrent Neural Networks Tutorial, Part 3 - Backpropagation Through Time and Vanishing Gradients This the third part of the Recurrent Neural Network Tutorial . In the previous part of the tutorial we implemented a RNN from scratch, but didn't go into detail on how Backpropagation Through Time (BPTT) algorithms calculates the gradients. The optimization of a recurrent neural network is identical to a traditional neural network. You will see in more detail how to code optimization in the next part of this tutorial. Applications of RNN. RNN has multiple uses, especially when it comes to predicting the future. Using neural networks to create advanced video game AI SethBling on Youtube has a few examples of him using neural networks to create an AI that learns how to play Super Mario Brothers and Mario Kart. People always talk about neural networks in game development as an AI system, and a Neural Network Tutorial: In the previous blog you read about single artificial neuron called Perceptron.In this Neural Network tutorial we will take a step forward and will discuss about the network of Perceptrons called Multi-Layer Perceptron (Artificial Neural Network). Train a neural network with TensorFlow . In this part of the tutorial, you will learn how to train a neural network with TensorFlow using the API's estimator DNNClassifier. We will use the MNIST dataset to train your first neural network. Tra