CurieNeurons Kit - A Neural Network Deep Learning Kit

The CurieNeurons Kit is a great tool for creating AI - related IoT projects. Released by DFRobot and Maker Collider, it's user - friendly for makers at all levels. With this kit, you can build smart hardware that can learn and classify patterns without writing a single line of code. It includes an Arduino/Genuino101 with the Intel Curie module, various sensors and actuators, the CurieNeurons Pro library, and helpful tutorials for quick demos. You can use training instead of coding to add AI to your projects, without getting into the technical details of neural networks. Features include support for the Arduino IDE and the CurieNeurons Pro library for simple pattern learning and classification. Specifications: Microcontroller is Genuino/Arduino 101, power supply can be 6*AA batteries or a 6.5 - 12V DC power adapter, dimensions are 220mm * 165mm * 65 mm (86.6 * 65 * 25.6 inches), and it weighs 300g. Documents available are the CurieNeurons Pro Library, the General Vision Website, and the official website with tutorials. Shipping list has a Genuino 101, IO Expansion shield, USB cables, buttons, jumper wires, adapters, display modules, memory cards, and more.

Using the CurieNeurons Kit is a breeze. First, set up your Genuino 101 and connect it to the IO Expansion shield. Then, attach the sensors and actuators according to the tutorials. You can power it using either 6*AA batteries or a 6.5 - 12V DC power adapter. When using the CurieNeurons Pro library, follow the step - by - step guides in the tutorials to train your hardware for pattern learning and classification. There's no need to worry about coding. Just focus on the training process. As for maintenance, keep the components in a dry and clean place. Avoid exposing them to extreme temperatures or humidity. If you need to update the library, visit the General Vision Website or the official website for the latest versions. And always handle the delicate parts, like the sensors and the microcontroller, with care to prevent damage.