diff --git a/content/tutorial-deep-learning-on-mnist.md b/content/tutorial-deep-learning-on-mnist.md index 0b6b6917..4ea4f3e2 100644 --- a/content/tutorial-deep-learning-on-mnist.md +++ b/content/tutorial-deep-learning-on-mnist.md @@ -11,7 +11,7 @@ kernelspec: name: python3 --- -# Tutorial: Deep learning on MNIST +# Deep learning on MNIST This tutorial demonstrates how to build a simple [feedforward neural network](https://en.wikipedia.org/wiki/Feedforward_neural_network) (with one hidden layer) and train it from scratch with NumPy to recognize handwritten digit images. diff --git a/content/tutorial-deep-reinforcement-learning-with-pong-from-pixels.md b/content/tutorial-deep-reinforcement-learning-with-pong-from-pixels.md index 36c2e4cd..4993fb74 100644 --- a/content/tutorial-deep-reinforcement-learning-with-pong-from-pixels.md +++ b/content/tutorial-deep-reinforcement-learning-with-pong-from-pixels.md @@ -12,7 +12,7 @@ kernelspec: name: python3 --- -# Tutorial: deep reinforcement learning with Pong from pixels +# Deep reinforcement learning with Pong from pixels This tutorial demonstrates how to implement a deep reinforcement learning (RL) agent from scratch using a policy gradient method that learns to play the [Pong](https://gym.openai.com/envs/Pong-v0/) video game using screen pixels as inputs with NumPy. Your Pong agent will obtain experience on the go using an [artificial neural network](https://en.wikipedia.org/wiki/Artificial_neural_network) as its [policy](https://en.wikipedia.org/wiki/Reinforcement_learning). diff --git a/content/tutorial-ma.md b/content/tutorial-ma.md index 080c1606..ddb6af19 100644 --- a/content/tutorial-ma.md +++ b/content/tutorial-ma.md @@ -12,7 +12,7 @@ kernelspec: name: python3 --- -# Tutorial: Masked Arrays +# Masked Arrays ## What you'll do diff --git a/content/tutorial-svd.md b/content/tutorial-svd.md index 3d393955..884b70b9 100644 --- a/content/tutorial-svd.md +++ b/content/tutorial-svd.md @@ -11,7 +11,7 @@ kernelspec: name: python3 --- -# Tutorial: Linear algebra on n-dimensional arrays +# Linear algebra on n-dimensional arrays +++ diff --git a/content/tutorial-x-ray-image-processing.md b/content/tutorial-x-ray-image-processing.md index 791de64e..0a602606 100644 --- a/content/tutorial-x-ray-image-processing.md +++ b/content/tutorial-x-ray-image-processing.md @@ -11,7 +11,7 @@ kernelspec: name: python3 --- -# Tutorial: X-ray image processing +# X-ray image processing +++ diff --git a/site/index.md b/site/index.md index 7735d38f..aaf77a0d 100644 --- a/site/index.md +++ b/site/index.md @@ -26,6 +26,7 @@ or use the download icon in the upper-right corner of each tutorial. maxdepth: 1 --- +content/tutorial-style-guide content/tutorial-svd content/mooreslaw-tutorial content/save-load-arrays