EECS 498-007 / 598-005 리트 코드 Leet Code 백준 pytorch Machine Learning dynamic programming SGD + Momentum SVM Loss Linear Classifier Resnet batch normalization Convolution Layer Activation Function dropout nlp Neural Network Adam Distributed Training Topology alignment RNNsearch Sliding Window 17142 AI-HUB 2143 1722 2056 Data Augumentation Kaiming Initialization Dynamic Graph Static Graph ZFNet GoogLeNet Group Normalization Instance Normalization Layer Normalization Convolutional Network Swapping Nodes in Linked List Decode XORed Array Computational Graph Back Propagation Forward Pass Backward propagation Soft Max 구간 나누기 Sliding Window Maximum Histogram of Oriented Gradients Color Histogram Feature Transform Space Warping Universal Approximation RMS Prop Maximum XOR With an Element From Array Where Will the Ball Fall Maximum Number of Eaten Apples Determine if String Halves Are Alike Minimum Operations to Make a Subsequence Ways to Split Array Into Three Subarrays Count Good Meals L2 regularization L1 regularizatoin Regularizaton Maximum Units on a Truck K Nearest Neighbor MIT Place Image Captioning vgg Computer Visioin Transfer Learning HyperParameter Tuning 리트코드 k-nearest neighbor Convex function 별자리 만들기 1806 Bag of Words G-Suite RMSProp AdaGrad GRU spacy AlexNet image classification object detection Stochastic Gradient Descent Max pooling cs231n CIFAR LSTM konlpy loss function 동전 바꿔주기 rnn data preprocessing imagenet cross-entropy 너비 우선 탐색 gradient descent mnist TensorFlow deep learning minimum spanning tree 1723 dataset tpu 카카오톡 Union Find Jacobian 부분합 Recursion softmax Computer Vision BFS Thunderbird DFS loss pooling optimizer gradient 썬더버드 알파벳 큐 55 queue 작업 리눅스 1987 GPU