pocket-automl-android-tutorial
docs
pocket-automl-android-tutorial | docs | |
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4 | 3 | |
21 | 6,039 | |
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0.0 | 9.0 | |
over 2 years ago | 5 days ago | |
Java | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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pocket-automl-android-tutorial
- Train an AI model on Android without coding, make your own app with it
- Show HN: Train an AI model on Android without coding, make your own app with it
- GitHub - OutSorcerer/pocket-automl-android-tutorial: Pocket AutoML: Tutorial for Creating an Android App for Image Classification with Deep Learning
- Pocket AutoML: No-Code Deep Learning on Android
docs
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Anyone willing to help me out on a discord call or something?
This is the model I’m trying to understand and create my own version of: https://github.com/tensorflow/docs/blob/master/site/en/r1/tutorials/sequences/recurrent_quickdraw.md
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Well technically, C++ *is* Danish...
Seems like a fun task. Tensorflow already has a nice tutorial for image segmentation . You’d have to replace the pets by fruits and then you’d be good.
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Get started with TensorFlow and Deep Learning
TensorFlow docs here
What are some alternatives?
Modern Java - A Guide to Java 8 - Modern Java - A Guide to Java 8
Artificial-Intelligence_resources-and-notebooks - This repo contains various different datasets and codes with various different algorithms. This also contains code and demonstrations to run an Artificial Intelligence Algorithm on the edge. It also contains many datasets where one can practice AI.
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
tensorflow-deep-learning - All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
tensorflow - An Open Source Machine Learning Framework for Everyone
Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
EKG - Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning