Difference between revisions of "Colaboratory"
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| − | [ | + | {{#seo: |
| + | |title=PRIMO.ai | ||
| + | |titlemode=append | ||
| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
| + | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
| + | }} | ||
| + | [https://www.youtube.com/results?search_query=Google+Colaboratory YouTube search...] | ||
| + | [https://www.google.com/search?q=Google+Colaboratory+machine+learning+ML+artificial+intelligence ...Google search] | ||
| − | * [ | + | * [https://colab.research.google.com/notebooks/welcome.ipynb Colaboratory] - works with [[Jupyter]] notebooks |
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| + | * [https://github.com/tensorflow/lucid#notebooks Lucid Notebooks | GitHub] ... a collection of infrastructure and tools for research in neural network interpretability. | ||
| + | * [https://codelabs.developers.google.com/ Google Developers Codelabs] | ||
| + | * [https://experiments.withgoogle.com/collection/ai Google AI Experiments] | ||
| + | * [https://console.cloud.google.com/home Google Cloud] | ||
| + | * [https://ai.google/tools/ We’re making tools and resources available so that anyone can use technology to solve problems | Google AI] | ||
| + | * [https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5d Google Colab Free GPU Tutorial | Fuat] | ||
| + | * [https://github.com/tensorflow/workshops TensorFlow Workshops] click on links to run in Colaboratory | ||
| + | * [https://cloud.google.com/datalab/ Datalab] | ||
| + | * [[Web Automation]] | ||
| + | * Colab How Tos: | ||
| + | ** [https://colab.research.google.com/notebooks/welcome.ipynb#recent=true Open to recent files] | ||
| + | ** How to upload from a local file on your computer | ||
| + | *** [https://www.youtube.com/watch?v=SHYAQHDQoU4 Video] | ||
| + | *** [https://colab.research.google.com/notebooks/io.ipynb Notebook] | ||
| + | *** [https://github.com/hse-aml/natural-language-processing#running-on-google-colab Running on Google Colab | hse-aml/natural-language-processing - GitHub] | ||
| − | Colaboratory is a research tool for machine learning education and research. It’s a free Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. | + | Colaboratory is a research tool for machine learning education and research. It’s a free [[Jupyter]] notebook environment that requires no setup to use and runs entirely in the cloud. [1. Click Edit | Notebook Setting and select GPU under Hardware Accelerator 2. Connect in upper right-hand corner] |
<youtube>RTOOo39iaSU</youtube> | <youtube>RTOOo39iaSU</youtube> | ||
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<youtube>Hs6HI2YWchM</youtube> | <youtube>Hs6HI2YWchM</youtube> | ||
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<youtube>SHYAQHDQoU4</youtube> | <youtube>SHYAQHDQoU4</youtube> | ||
<youtube>1PrnA4pVm5o</youtube> | <youtube>1PrnA4pVm5o</youtube> | ||
| + | <youtube>1EHWYTUL6vU</youtube> | ||
| + | <youtube>f1UK8KPt-KU</youtube> | ||
| + | <youtube>Pt-Od-oBgOM</youtube> | ||
| + | |||
| + | == [[Converting to TensorFlow Lite]] == | ||
| + | How to convert your [[Keras]] or [[TensorFlow]] machine learning model into [[TensorFlow Lite]] using Collab | android daily life with Ameer | ||
| + | |||
| + | <youtube>IJt_veyTlv8</youtube> | ||
Latest revision as of 05:00, 28 March 2023
YouTube search... ...Google search
- Colaboratory - works with Jupyter notebooks
- Lucid Notebooks | GitHub ... a collection of infrastructure and tools for research in neural network interpretability.
- Google Developers Codelabs
- Google AI Experiments
- Google Cloud
- We’re making tools and resources available so that anyone can use technology to solve problems | Google AI
- Google Colab Free GPU Tutorial | Fuat
- TensorFlow Workshops click on links to run in Colaboratory
- Datalab
- Web Automation
- Colab How Tos:
- Open to recent files
- How to upload from a local file on your computer
Colaboratory is a research tool for machine learning education and research. It’s a free Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. [1. Click Edit | Notebook Setting and select GPU under Hardware Accelerator 2. Connect in upper right-hand corner]
Converting to TensorFlow Lite
How to convert your Keras or TensorFlow machine learning model into TensorFlow Lite using Collab | android daily life with Ameer
