MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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A list of useful Java frameworks, libraries, software and hello worlds examples
- java-links
- java-frameworks
- awesome-list
- machine-learning
Cheat Sheet for Android Interviews
- android
- interview-questions
- cheat-sheets
- java
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- tensorflow-android
- machine-learning
Contributed code examples from O'Reilly Android Cookbook. See #user-content-table README below!
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- mnist-classification
- mnist
EventStorming workshop, this is a hands-on workshop. Contains such topics: DDD, Event storming, Specification by example. Including the AWS product : Serverless Lambda , DynamoDB, Fargate, CloudWatch.
- aws
- eventstorming
- ddd
- serverless
Example APIs or services to demo all feature of the light-4j framework
Modular and modern graph-theory algorithms framework in Java
- graph-algorithms
- graph-theory
- java
- algorithms
Native Java API to work with JavaScript Node Package Manager (NPM): query, retrieve, pack into jar (webjars), CDN, maven
Json-values allows Java developers to harness the power of persistent data structures when working with JSON data, simplifying complex data manipulation. It provides a purely functional approach to JSON
- functional-programming
- java
- json
- json-generator
Vertx-MongoDB-Effect enables interaction with MongoDB in a purely functional and reactive style, seamlessly integrating with Vertx-effect. This library requires familiarity with Vertx-effect, as both frameworks share a foundational reliance on immutability and persistent data structures provided by json-values.
- functional-programming
- javascript
- json-values
- mongodb