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Artificial-Intelligence_resources-and-notebooks
docs | Artificial-Intelligence_resources-and-notebooks | |
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3 | 2 | |
6,033 | 7 | |
0.5% | - | |
9.0 | 0.0 | |
9 days ago | about 4 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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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
Artificial-Intelligence_resources-and-notebooks
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Get started with TensorFlow and Deep Learning
If you are using Jupyter Notebooks in your local environment download the code file here.
What are some alternatives?
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
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]
tensorflow-deep-learning - All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in 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
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
EKG - Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning