regularization2 CS231n - Lecture 7 (Regularization) CS231n Lecture7 - Training Neural NetworksⅡ의 후반부를 듣고, 동아리 세미나 수강 후 정리한 내용입니다. 오류를 발견하시면 댓글로 말씀해주세요. CS231n Convolutional Neural Networks for Visual Recognition Table of Contents: Learning In the previous sections we’ve discussed the static parts of a Neural Networks: how we can set up the network connectivity, the data, and the loss function. This section is devoted to the dynamics, or in other .. 2021. 6. 8. CS231n - Lecture 3 (Loss Functions) CS231n Lecture 3를 듣고 정리한 내용입니다. 발표를 위해 직접 제작한 ppt와 당시 설명했던 내용들을 첨부합니다. 만약 틀린 내용이 있다면 언제든 댓글로 알려주세요! 수정하겠습니다 :) CS231n Convolutional Neural Networks for Visual Recognition Table of Contents: Linear Classification In the last section we introduced the problem of Image Classification, which is the task of assigning a single label to an image from a fixed set of categories. Morever, we described the.. 2021. 4. 8. 이전 1 다음