docs
TensorFlow2.0_Notebooks
| docs | TensorFlow2.0_Notebooks | |
|---|---|---|
| 3 | 1 | |
| 6,033 | 37 | |
| 0.5% | - | |
| 9.0 | 0.0 | |
| 9 days ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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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
TensorFlow2.0_Notebooks
What are some alternatives?
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.
mmcv - OpenMMLab Computer Vision Foundation
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
tensorflow-deep-learning - All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
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]
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos