인공지능 고급(시각지능)

1.[1일 차] Computer vision, ML, DL

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2.[2일 차] ML/DL Architecture, Loss function, Process

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3.[3일 차] Deep learning, TensorFlow, Keras

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4.[4일 차] TensorFlow - Modeling, loss function & activation function

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5.[5일 차] Neural Network - Data & Overfitting, Shuffle, Data source

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6.[6일 차] Neural Network - Optimizer, Callback, Hyperparameter

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7.[7일 차] CNN - Filter, Feature map, padding, Image Data

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8.[8일 차] MNIST

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9.[9일 차] MNIST, CIFAR10

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10.[10일 차] CIFAR10, GTSRB

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11.[11일 차] GTSRB, Surface Creack Detection

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12.[12일 차] Transfer learning, ImageDataAugmentation, ImageDataGenerator

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13.[13일 차] Brain tumor classification - Transfer learning, Small dataset

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14.[14일 차] Classification of medical dataset

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15.[15일 차] Dog breed classification project

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16.[16일 차] Object detection - YOLO

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17.[17일 차] YOLOv5 - Mask Wearing detection

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18.[18일 차] Dataset file check

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19.[18일 차] YOLO Mini Project

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20.[19일 차] YOLO Mini Project

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