"Differentiable Convex Optimization Layers"
CVXPY creates powerful new PyTorch and TensorFlow layers
Agrawal et al.: https://locuslab.github.io/2019-10-28-cvxpylayers/
#PyTorch #TensorFlow #NeurIPS2019
❇️ @AI_Python_EN
CVXPY creates powerful new PyTorch and TensorFlow layers
Agrawal et al.: https://locuslab.github.io/2019-10-28-cvxpylayers/
#PyTorch #TensorFlow #NeurIPS2019
❇️ @AI_Python_EN
New State of the Art AI Optimizer: Rectified Adam (RAdam) Improve your AI accuracy instantly versus Adam, and why it works. Blog by Less Wright :
https://medium.com/@lessw/new-state-of-the-art-ai-optimizer-rectified-adam-radam-5d854730807b
#MachineLearning #TensorFlow #Pytorch #DeepLearning
❇️ @AI_Python_EN
https://medium.com/@lessw/new-state-of-the-art-ai-optimizer-rectified-adam-radam-5d854730807b
#MachineLearning #TensorFlow #Pytorch #DeepLearning
❇️ @AI_Python_EN
Machine Learning Models
☞ https://morioh.com/p/1dc7518426c2
#TensorFlow #machinelearning
❇️ @AI_Python_EN
☞ https://morioh.com/p/1dc7518426c2
#TensorFlow #machinelearning
❇️ @AI_Python_EN
Contributor Derrick Mwiti with an overview of #TensorFlow MLIR—a mult-level intermediate representation designed to be a reusable and extensible compiler that works across the #DeepLearning landscape.
https://bit.ly/2Jt83T7
❇️ @AI_Python_EN
https://bit.ly/2Jt83T7
❇️ @AI_Python_EN
Medium
TensorFlow MLIR: An Introduction
Multi-level intermediate representation-a new compiler infrastructure
#TFHub tutorials TensorFlow Hub is a library for reusable machine learning modules : https://lnkd.in/eYk83J5 #DeepLearning #Tensorflow #TensorFlowHub #Tutorials
TensorFlow
Tutorials | TensorFlow Hub
TensorFlow Hub tutorials to help you get started with using and adapting pre-trained machine learning models to your needs.