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- Large-Scale Deep Learning with Tensorflow
- Towards Russian Text Generation Problem Using Openai's GPT-2
- Tensorflow, Pytorch and Horovod
- Minigo: a Case Study in Reproducing Reinforcement Learning Research
- Patent Claim Generation by Fine-Tuning Openai GPT-2
- Distributed Deep Learning with Horovod Alex Sergeev, Machine Learning Platform, Uber Engineering @Alsrgv Deep Learning
- Accelerating Sparse DNN Models Without Hardware-Support Via Tile-Wise Sparsity
- Automatic Full Compilation of Julia Programs and ML Models to Cloud
- Tednet: a Pytorch Toolkit for Tensor Decomposition Networks
- Graph Neural Networks in Tensorflow and Keras with Spektral
- Machine Intelligence at Google Scale: Vision/Speech API, Tensorflow and Cloud ML Kaz Sato
- What Is Deep Learning?
- Horovod: Fast and Easy Distributed Deep Learning in Tensorflow
- Large-Scale Deep Learning for Intelligent Computer Systems
- Tensorflow & Keras
- Python Tensorflow Big Data Analysis for the Security of Korean Nuclear Power Plants
- Tensorflow Eager: a Multi-Stage, Python-Embedded DSL for Machine Learning
- How to Use Neural Networks for Automatic Item Generation In
- Tensorflow and Pytorch
- Choosing a Deep Learning Library
- Mastering the Game of Go Without Human Knowledge
- Spoiler: Only Swift and Julia Make the Cut)
- An Empirical Study of the Dependency Networks of Deep Learning Libraries
- Tensorflow, Pytorch, Keras, and Horovod Huihuo Zheng Data Science Group [email protected]
- User & Developer Survey 2021
- Effortless Machine Learning on Tpus with Julia
- Tensorflow Eager: a Multi-Stage, Python-Embedded DSL for Machine Learning Function
- Introduction to Deep Learning with Tensorflow
- RL: Generic Reinforcement Learning Codebase in Tensorflow
- Learning Transferable Visual Models from Natural Language Supervision
- Tensorflow: R Interface to 'Tensorflow'
- Air Dominance Through Machine Learning: a Preliminary Exploration of Artificial Intelligence–Assisted Mission Planning
- Uber's Distributed Deep Learning Journey
- A Tour of Tensorflow Proseminar Data Mining Peter Goldsborough Fakultät Für Informatik Technische Universität München Email: [email protected]
- Tensorflow Graph Optimizations
- Building Machine Learning Projects with Tensorflow
- Tensorflow W/XLA: Tensorflow, Compiled! Expressiveness with Performance
- Deep Learning with Keras
- Arxiv:2008.04175V1 [Cs.LG] 10 Aug 2020 Sieadaawl 06 Sdagahbsdapoc.Teu the Approach
- Machine Learning and Deep Learning Frameworks and Libraries for Large-Scale Data Mining: a Survey
- Practical Tricks and Story Generation
- Tensorflow Is an Open Source Machine Learning Framework for All Developers
- CS 175: Project in Artificial Intelligence Assignment 2
- Deep Learning Library Testing Via Effective Model Generation
- Scalable Planning with Tensorflow for Hybrid Nonlinear Domains
- Dota 2 with Large Scale Deep Reinforcement Learning
- Tensorflow on Aws
- Tensorflow: a System for Large-Scale Machine
- Tensorflow Tutorial
- Keras in Tensorflow 2.0
- Performance, Power, and Scalability Analysis of the Horovod Implementation of the CANDLE NT3 Benchmark on the Cray XC40 Theta
- Distributed Machine Learning Pooyan Jamshidi USC Learning Goals
- A Multi-Stage, Python-Embedded DSL for Machine Learning Function
- Efficient Batched Reinforcement Learning in Tensorflow
- An Idiomatic Julia Front End for Tensorflow
- Alphazero to Alpha Hero a Pre-Study on Additional Tree Sampling Within Self-Play Reinforcement Learning
- Deep Learning with Keras : : CHEAT SHEET Keras Tensorflow Intro INSTALLATION Define Compile Fit Evaluate Predict the Keras R Package Uses the Python Keras Library
- Chapter 1 Julia Tutorial
- Introduction of Tensorflow (Basic Concept)
- Software Libraries for Deep Learning
- What It Is and How It Could Affect Education Sergey Karayev GSV Breakfast Club January 2021 About Me
- A Powerful Comparison of Deep Learning Frameworks for Arabic Sentiment Analysis
- What Do Programmers Discuss About Deep Learning Frameworks
- Exploring Transformer Text Generation for Medical Dataset Augmentation
- Large-Scale Machine Learning on Heterogeneous Distributed
- Tensorflow Certificate: Candidate Handbook
- Comparing Julia and Python an Investigation of the Performance on Image Processing with Deep Neural Networks and Classification
- Introduction to Keras and Tensorflow
- Distributed Deep Learning