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※ 본 글은 아래의 예제을 test하며, 작성한 글입니다. https://github.com/tensorflow/tensorrt/blob/master/tftrt/examples/image_classification/NGC-TFv2-TF-TRT-inference-from-Keras-saved-model.ipynb GitHub - tensorflow/tensorrt: TensorFlow/TensorRT integration TensorFlow/TensorRT integration. Contribute to tensorflow/tensorrt development by creating an account on GitHub. github.com 1. Env. 아래의 Docker를 사용하였습니다. (colab과 ..

https://www.packtpub.com/data/pytorch-computer-vision-cookbook?utm_source=github&utm_medium=repository&utm_campaign=9781838644833 PyTorch Computer Vision Cookbook Discover powerful ways to use deep learning algorithms and solve real-world computer vision problems using Python www.packtpub.com https://github.com/PacktPublishing/PyTorch-Computer-Vision-Cookbook GitHub - PacktPublishing/PyTorch-Com..

https://youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017) Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving car... www.youtube.com Convolutional Neural Networks for Visual Recognition (Spring 201..

https://www.edwith.org/ 에듀케이션위드 : edwith 에드위드(edwith)는 네이버(NAVER)와 네이버 커넥트재단(NAVER Connect)이 제공하는 온라인 강좌(MOOC : Massive Online Open Course) 교육 플랫폼입니다. 에듀케이션위드(education with) 에드위드(edwith)로 분야별 명 www.edwith.org edwith 소개 교육과 삶을 연결합니다 재단법인 커넥트는 모두가 함께하는 열린 교육의 장을 열어가기 위해, edwith를 시작했습니다. 언제 어디서나 누구든지 원하는 것을 배울 수 있도록 MOOC(Massive Open Online Course: 온라인 대중공개 강좌)을 위한 무크 플랫폼과 양질의 강좌를 제공합니다. 커넥트재단은 열린..

https://youtube.com/playlist?list=PLkDaE6sCZn6F6wUI9tvS_Gw1vaFAx6rd6 Sequence Models (Course 5 of the Deep Learning Specialization) www.youtube.com https://www.coursera.org/learn/nlp-sequence-models?specialization=deep-learning 시퀀스 모델 deeplearning.ai에서 제공합니다. In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their ... 무료로 등록하십시오. www.cours..

https://youtube.com/playlist?list=PLkDaE6sCZn6Gl29AoE31iwdVwSG-KnDzF Convolutional Neural Networks (Course 4 of the Deep Learning Specialization) www.youtube.com https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning [DeepLearning.AI] Convolutional Neural Networks (Course 4) Contents Week1 Foundations of Convolutional Neural Networks C4W1L01 Computer Vision C4W..

https://youtube.com/playlist?list=PLkDaE6sCZn6E7jZ9sN_xHwSHOdjUxUW_b Structuring Machine Learning Projects (Course 3 of the Deep Learning Specialization) www.youtube.com https://www.coursera.org/learn/machine-learning-projects?specialization=deep-learning Structuring Machine Learning Projects deeplearning.ai에서 제공합니다. In the third course of the Deep Learning Specialization, you will learn how to ..

https://youtube.com/playlist?list=PLkDaE6sCZn6Hn0vK8co82zjQtt3T2Nkqc Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Course 2 of the Deep Learning Specializa www.youtube.com https://www.coursera.org/learn/deep-neural-network?specialization=deep-learning Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Course2) Content..

https://youtube.com/playlist?list=PLkDaE6sCZn6Ec-XTbcX1uRg2_u4xOEky0 Neural Networks and Deep Learning (Course 1 of the Deep Learning Specialization) www.youtube.com https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning#syllabus Neural Networks and DeepLearning (Course1) Contents Week1 Introduction to Deep Learning Welcome (Deep Learning Specialization C1W1L01..