Journal/Conference : ICASSP IEEEYear(published year): 2022Author: Edmilson Morais, Ron Hoory, Weizhong Zhu, Itai Gat, Matheus Damasceno and Hagai AronowitzSubject: Speech Emotion Recognition, sel
개요Coursera ML Ops Course 2 Quiz 1. Intro to MLEP Link: https://www.coursera.org/learn/machine-learning-data-lifecycle-in-production/home/week/1 2. Data Collection 3. Data Labeling
Course Link Lecture 2 in MLOps Data Label Collecting Data You need to make sure that your data covers the same region of your feature space as the prediction request that you’ll get your trai
Journal/Conference : IEEE/ACM Transactions on Audio, Speech, and Language ProcessingYear(published year): 2022Author: Cheng Lu , Yuan Zong , Member, IEEE, Wenming Zheng , Senior Member, IEEE
개요Coursera ML Ops Course 1 Quiz 1. The Machine Learning Project Lifecycle Link: https://www.coursera.org/learn/introduction-to-machine-learning-in-production/home/week/1 2. Deployment 3. Sel
Course Link Lecture 1 in MLOps Overview the key steps involved in a typical machine learning project. It starts with scoping, where the project goals and variables (X and Y) are defined. Data
개요Coursera Deep Learning Course 5 Quiz 1. Recurrent Neural Networks Link: https://www.coursera.org/learn/nlp-sequence-models/home/module/1 2. Natural Language Processing
Journal/Conference : ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Year(published year): 2022Author: Yuan Gao, Shogo Okada, Longbiao Wang, Jiax
Course Link Lecture 5 in Deep Learning RNN there is one-to-many. So, this was a music generation or sequenced generation as example. And then, there’s many-to-one, that would be an example of sen
개요 Coursera Deep Learning Course 4 Quiz 1. The Basics of ConvNets Link: https://www.coursera.org/learn/neural-networks-deep-learning/home/module/1 2.Deep Convolutiona