Examples of using Deep learning in English and their translations into Korean
{-}
-
Colloquial
-
Ecclesiastic
-
Ecclesiastic
-
Programming
-
Computer
The Deep Learning.
So if we speak about deep learning.
그래서 우리가 심오한 배움에 대해 이야기 한다면.Deep Learning Basics.
A range of AI and deep learning capabilities.
Deep Learning and AI.
딥 러닝 및 AI.
People also translate
Explore more AI and deep learning partner ecosystem.
AI와 딥 러닝 파트너 에코시스템.Deep Learning library.
딥러닝 라이브러리에는 lasagne.A Guide to Deep Learning by YN2.
A Guide to Deep Learning by YN2: 방대한 자료.Deep learning inference capabilities(GN5i).
딥 러닝 추론 성능(GN5i).DEEP Gadget: 딥 러닝 어플라이언스.Deep Learning is a subset of ML.
Deep Learning 은 ML의 하위 집합입니다.Professional Program Certificate in Deep Learning(IBM).
딥 학습의 전문 프로그램 인증서 (IBM).The Deep Learning Revolution.
깊은 학습 혁명.This concept is then explored in the Deep Learning world.
이 개념은 깊은 학습 세계에서 탐구됩니다.HPE Deep Learning Solutions.
HPE 딥 러닝 솔루션.PowerAI: an enterprise-ready deep learning ecosystem.
PowerAI: 엔터프라이즈 지원 딥 러닝 에코시스템.AI and deep learning services.
AI와 딥 러닝 서비스.Why Choose Open eVision's Deep Learning Bundle?
왜 Open eVision의 Deep Learning Bundle을 선택해야 합니까?ROS Deep Learning with TensorFlow.
TensorFlow 통한 ROS 딥 러닝.This technique is extremely popular in the deep learning community.
AWS Deep Learning AMI Salesforce Einstein.
AWS 딥 학습 세일즈 아인슈타인과.And PyTorch is very popular in deep learning research community.
그리고 PyTorch는 깊은 학습 연구 분야에서 매우 인기가 있습니다.Deep Learning on AWS(AWSDL).
Deep Learning on AWS(AWS 기반 딥 러닝).How do you get started in machine learning, specifically Deep Learning?
당신은 기계 학습으로 태클하고 싶습니다 특히 깊은 학습?Deep learning with PyTorch.
브랜드명 상품명 Deep Learning with Pytorch.New neural network framework gives access to GPU-accelerated deep learning.
새로운 신경망 네트워크 프레임워크의 GPU 가속의 딥 러닝 접근 허용.Practical deep learning for coders.
Practical Deep Learning For Coders.Nikita is an experienced Data Scientist and a Computer Vision& Deep Learning Engineer.
Nikita는 숙련된 데이터 과학자이자 컴퓨터 비전 딥 학습 엔지니어입니다.Work Content: Deep learning technology development.
업무내용: Deep learning 기술 개발.Christopher has also developed algorithms for LOT and deep learning applications.
Christopher는 IOT 및 심층 학습 애플리케이션을위한 알고리즘도 개발했습니다.
