Welcome AI
Aug 14 · 2 min read

A list of tools you should be using for your deep learning projects

TensorBoard: TensorFlow’s visualization toolkit

https://www.tensorflow.org/tensorboard

TensorBoard provides the visualization and tooling needed for machine learning experimentation:

  • Tracking and visualizing metrics such as loss and accuracy
  • Visualizing the model graph (ops and layers)
  • Viewing histograms of weights, biases, or other tensors as they change over time
  • Projecting embeddings to a lower dimensional space
  • Displaying images, text, and audio data
  • Profiling TensorFlow programs

Gluon

https://github.com/gluon-api/gluon-api

The Gluon API specification is an effort to improve speed, flexibility, and accessibility of deep learning technology for all developers, regardless of their deep learning framework of choice.

The Gluon API offers a flexible interface that simplifies the process of prototyping, building, and training deep learning models without sacrificing training speed.

IBM Watson Studio

https://www.ibm.com/cloud/watson-studio

IBM Watson Studio empowers organizations to tap into data assets and inject predictions into business processes and modern applications.

It’s suited for hybrid multicloud environments that demand mission-critical performance, security and governance — in public clouds, in private clouds, on-premises and on the desktop, including IBM Cloud Pak for Data.

Ludwig
https://uber.github.io/ludwig/

Ludwig is a toolbox that allows to train and test deep learning models without the need to write code.

A new data type-based approach to deep learning model design that makes the tool suited for many different applications.

Experienced users have deep control over model building and training, while newcomers will find it easy to use.

Spell

https://spell.run/

Spell is an intuitive, deep learning platform that manages your infrastructure and projects, making machine learning projects easier to start and faster to get results.

Use Jupyter Notebooks or Jupyter Labs powered by Spell’s GPUs, and easily collaborate on a notebook within an organization.

Spell allows teams to experiment faster, increases collaboration and provides full project transparency.

— — —

Stay updated on AI at www.Welcome.AI

Welcome AI

The latest in Artificial Intelligence / Machine Learning products, services and technologies www.Welcome.AI

Welcome AI

Written by

Artificial Intelligence, Machine Learning, Deep Learning, Robotics www.Welcome.AI

Welcome AI

The latest in Artificial Intelligence / Machine Learning products, services and technologies www.Welcome.AI

Welcome to a place where words matter. On Medium, smart voices and original ideas take center stage - with no ads in sight. Watch
Follow all the topics you care about, and we’ll deliver the best stories for you to your homepage and inbox. Explore
Get unlimited access to the best stories on Medium — and support writers while you’re at it. Just $5/month. Upgrade