A Crash Course in Neural Networks with Keras

This repo contains five Jupyter notebooks, providing high level introductions and working code examples in Keras (with tensorflow backend) for:

Supervised Learning with:

Unsupervised learning with:

Reinforcement learning with:

NB! A high percentage of the images, explanations and codes are taken from existing:

and when relevant the sources are referenced within the notebooks.

Enjoy :)

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
images		images
.gitignore		.gitignore
NN_tutorial_1_Feed_Forward_Neural_Networks.ipynb		NN_tutorial_1_Feed_Forward_Neural_Networks.ipynb
NN_tutorial_1_Feed_Forward_Neural_Networks_Slides.ipynb		NN_tutorial_1_Feed_Forward_Neural_Networks_Slides.ipynb
NN_tutorial_2_Convolutional_Neural_Networks.ipynb		NN_tutorial_2_Convolutional_Neural_Networks.ipynb
NN_tutorial_2_Convolutional_Neural_Networks_Slides.ipynb		NN_tutorial_2_Convolutional_Neural_Networks_Slides.ipynb
NN_tutorial_3_Recurrent_Neural_Networks.ipynb		NN_tutorial_3_Recurrent_Neural_Networks.ipynb
NN_tutorial_3_Recurrent_Neural_Networks_Slides.ipynb		NN_tutorial_3_Recurrent_Neural_Networks_Slides.ipynb
NN_tutorial_4_Generative_Adverserial_Networks.ipynb		NN_tutorial_4_Generative_Adverserial_Networks.ipynb
NN_tutorial_4_Generative_Adverserial_Networks_Slides.ipynb		NN_tutorial_4_Generative_Adverserial_Networks_Slides.ipynb
NN_tutorial_5_Reinforcement_learning_with_DeepQ_networks.ipynb		NN_tutorial_5_Reinforcement_learning_with_DeepQ_networks.ipynb
NN_tutorial_5_Reinforcement_learning_with_DeepQ_networks_Slides.ipynb		NN_tutorial_5_Reinforcement_learning_with_DeepQ_networks_Slides.ipynb
README.md		README.md

Provide feedback