Deep Learning
Deep Learning | News, how-tos, features, reviews, and videos
Deeplearning4j: Deep learning and ETL for the JVM
Aimed at integrating models with Java applications, Deeplearning4j offers a stack of components for building JVM-based applications that incorporate AI
Learn PyTorch: The best free online courses and tutorials
Look no further than these excellent free resources to master the development of deep learning models using PyTorch
Kaggle: Where data scientists learn and compete
By hosting datasets, notebooks, and competitions, Kaggle helps data scientists discover how to build better machine learning models
MLflow is now a Linux Foundation project
Databricks framework for managing machine learning projects will go to an open governance model
Data science during COVID-19: Some reassembly required
Most likely, the assumptions behind your data science model or the patterns in your data did not survive the coronavirus pandemic. Here’s how to address the challenges of model drift
Quantum AI is still years from enterprise prime time
Quantum computing’s greatest potential for widespread adoption during this decade is in artificial intelligence
Spell machine learning platform goes on-prem
An end-to-end machine learning platform designed for ease of use, Spell now offers incarnations for both public cloud and data center deployment
The best free data science courses during quarantine
6 excellent online courses and one book to learn statistics, machine learning, and deep learning while you’re locked in the house
AWS unveils open source model server for PyTorch
Intended to ease production deployments of PyTorch models, TorchServe supports multi-model serving and model versioning for A/B testing
GPipe and PipeDream: Scaling AI training in every direction
New frameworks Google GPipe and Microsoft PipeDream join Uber Horovod in distributed training for deep learning
PyTorch 1.5 adds C++ power, distributed training
The powerful deep learning system for Python now makes it easier to integrate high performance C++ code and train models on multiple machines at once
Checking AI bias is a job for the humans
By pre-processing or post-processing data, or even setting datasets to expire, humans can step in to correct machine learning models
Google unveils TensorFlow tool for making mobile-ready models
TensorFlow Lite Model Maker shrinks TensorFlow models to more efficiently serve predictions on mobile devices
Is your data lake open enough? What to watch out for
Like yesterday’s data warehouses, today’s data lakes threaten to lock us into proprietary formats and systems that restrict innovation and raise costs
Review: Amazon SageMaker plays catch-up
With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds
How AI helped Domino’s improve pizza delivery
Sharing a container environment and Nvidia GPU server has enabled Domino’s data scientists to create more complex and accurate models to improve store and delivery operations
TensorFlow deepens its advantages in the AI modeling wars
Despite complaints about its complexity, TensorFlow supports every AI development, training, and deployment scenario you can imagine
Explaining machine learning models to the business
How to create summaries of machine learning system decisions that business decision makers can understand
-
White Paper
-
Lead Gen
Sponsored -
Video/Webcast
Sponsored -
Lead Gen
Sponsored -
Video/Webcast
Sponsored
