TensorFlow

Resources for TensorFlow, Machine Learning and AI

• Docs/Publications

  • ML Glossary: Go beyond the hype, understand each term that is used in Machine Learning workflows. It's also a good baseline to build your organization's Machine Learning glossary.

  • TensorFlow docs: One place for all the best and always up to date content on TensorFlow and best practices on Machine Learning.

  • Research Publication from Google: All the research papers from Google Research

  • Arxive Sanity: Cause otherwise it's insane amount of research content

  • AI education: Best content on learning machine learning constantly updated

  • Google AI blog: Latest news from Google AI to keep a tab on what's new in Machine Learning

• Tools

  • CoLab: Free hosted notebooks from Google AI team with free GPU and TPU access

  • Kaggle Kernels: Free hosted notebooks from the Kaggle team with free access to GPUs and amazing community

  • Kaggle Datasets: Free datasets to use for your data science and machine learning projects

  • Kaggle Competitions: Competitions to test your mettle with the best in the world

  • Dataset search: Google search for datasets of all kinds from various sources

  • Kubeflow: Open Source, end to end machine learning platform built with the power of TensorFlow, Kubernetes, Dataflow, TFX, Hub, Serving and other similar best technologies.

  • AutoML: No code, no problem! Get the best machine learning models for you without need for any code or machine learning experiences.

  • Facets: Visualization for Machine Learning datasets which works seamlessly regardless of the data size and type

  • What-If... you could inspect a machine learning model, with no coding required?

  • ML Kit: Machine Learning for mobile developers, making mobile Machine learning smooth

  • TF Research Cloud: TPUs for researchers working on cutting edge deep learning research.

  • TFHub.dev: Prebuilt models that can be utilized by tensorflow's hub API

• Conferences

  • TensorFlow DevSummit: Meet machine learning user, researchers and industry leaders utilizing or contributing to TensorFlow.

  • NeurIPS: Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference.

• Demo

  • TensorFlow Playground: A one stop place to learn and understand various Machine Learning concepts.

  • AI Experiments: Showcase of simple experiments by Google to start exploring machine learning.

    • TechableMachines: An interactive playground to train and test a model in browser

  • Seedbank: Interactive Machine Learning examples with linked notebooks

  • Magenta Demos: Music by machines, no, not the clunky kind

  • TF/examples: Examples of using TensorFlow

  • TPU demo: Shows how TPUs are more powerful than other processing systems

• End-to-End solution

  • Presentation: End-To-End Machine Learning walkthrough, updated regularly!

  • Code: End-To-End solution that you can use in production right now on Google Cloud

• Hands-on Learning

  • Structured:

    • Learn ML basics

    • TensorFlow 2.0

    • TF with Google Cloud

    • TF with Kubeflow

    • TF and DeepLearning without a PhD

  • Unstructured:

    • Keras basic classification

    • MNIST using TPUs by Martin Gorner

• Social/Others

  • Google AI Team

  • TensorFlow on Twitter

  • TensorFlow on Medium

  • TensorFlow on YouTube

  • Siraj Raval on YouTube

  • Arxiv Insights on YouTube