docs
introtodeeplearning
| docs | introtodeeplearning | |
|---|---|---|
| 3 | 2 | |
| 6,033 | 6,847 | |
| 0.5% | - | |
| 9.0 | 8.5 | |
| 9 days ago | 2 months 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
introtodeeplearning
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Music Synthesis with python
I remember that there was a lecture in the MIT intro course. https://github.com/aamini/introtodeeplearning/tree/master/lab1
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[D] MIT's introductory bootcamp on deep learning methods
I think this is the github repo for the course also: https://github.com/aamini/introtodeeplearning
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.
Sonic Pi - Code. Music. Live.
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
dl-colab-notebooks - Try out deep learning models online on Google Colab
tensorflow-deep-learning - All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
mit-license - Hosted MIT License with details controlled through this repo
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]
EasyABC - EasyABC
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
mit-deep-learning - Collections of resources from MIT Introduction to Deep Learning (6.S191)
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0