딥러닝-영상인식 CAMP 10주 과정을 위한 TensorFlow 코드들
- MNIST Classification using Softmax Classifier (Code)
- MNIST Reconstruction using Autoencoder (Code)
- MNIST Classification using Multi-Layer Perceptron(MLP) (Code)
- MNIST Classification using Stacked Autoencoders + Softmax Classifier (Code)
- MNIST Classification using Convolutional Neural Networks(CNNs) (Code)
- CIFAR-10 Image Classification using Convolutional Neural Networks(CNNs) (Code)
- Custom Dataset Image Classification using Inception v3 Retraining(Fine-Tuning) (Code)
- Character-level Language Modeling using Recurrent Neural Networks(RNNs) (Code)
- Penn Tree Bank(PTB) Dataset Language Modeling using Recurrent Neural Networks(RNNs) (Code)
- NLP QA - End-To-End Memory Networks Implementation (Code)
- Visual QA - Exploring Models and Data for Image Question Answering Implementation (Code)
- Image Captioning - Show and Tell: A Neural Image Caption Generator Implementation (Code)
- Neural Style Transfer - A neural algorithm of artistic style Implementation (Code)
- Autopilot - Learning a Driving Simulator Implementation (Code)
- Semantic Image Segmentation - Fully Convolutional Networks for Semantic Segmentation Implementation (Code)
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Brain Tumor Segmentation - Fully Convolutional Networks for Semantic Segmentation Implementation for BRATS Dataset (Code)
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Generative Adversarial Networks(GAN) - Generative Adversarial Networks Implementation (Code)
- MNIST Classification with summaries for TensorBoard (Code)