A small library for managing deep learning models, hyperparameters and datasets
Automatically tuning hyperparameters for deep learning
Deep Learning Models optimized for AWS
Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/
Deep Learning Specialization (Prof. Andrew Ng): Course 2
List of satellite imagery datasets with annotations for computer vision and deep learning
Keras code and weights files for popular deep learning models.
Various unique "real-world" datasets specifically for deep learning purpose.
Papers, code and datasets about deep learning and multi-modal learning for video analysis
Extended Python dict for flexible hyperparameter configuration in Deep Learning
Contains the programming exercises and assignments for Deep Learning A-Z course on Udemy. Includes Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Networks, Self Organizing Maps, Auto Encoders and Boltzmann Machines
Got any useful tips about larq/zookeeper?