dl_cv_tensorflow_10weeks

딥러닝-영상인식 CAMP 10주 과정을 위한 TensorFlow 코드들

Week1 - Deep Learning Introduction

• MNIST Classification using Softmax Regression 😄 (Code)
• MNIST Reconstruction using Autoencoder (Code)
• MNIST Classification using Artificial Neural Networks(ANN) (Code)
• MNIST Classification using Stacked Autoencoders + Softmax Classifier (Code)

Week2 - Convolutional Neural Networks(CNNs)

• MNIST Classification using Convolutional Neural Networks(CNNs) (Code)
• MNIST Classification using Convolutional Neural Networks(CNNs) with tf.train.Saver() (Code)
• CIFAR-10 Image 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)

Week3 - Recurrent Neural Networks(RNNs)

• Embedding Example (Code)
• Gradient Clipping Example (Code)
• Character-level Language Modeling using Recurrent Neural Networks(RNNs) (Char-RNN) 😄 (Code)
• Character-level Language Modeling using Recurrent Neural Networks(RNNs) (Char-RNN) (Code)
• Character-level Language Modeling using Recurrent Neural Networks(RNNs) (Char-RNN) using tf.nn.dynamic_rnn (Code)
• Penn Tree Bank(PTB) Dataset Language Modeling using Recurrent Neural Networks(RNNs) (Code)
• Penn Tree Bank(PTB) Dataset Language Modeling using Recurrent Neural Networks(RNNs) using tf.nn.dynamic_rnn (Code)

Week4 - Natural Language Processing(NLP) QA & Visual QA

• NLP QA - End-To-End Memory Networks Implementation (Code)
• Visual QA - Exploring Models and Data for Image Question Answering Implementation (Code)

Week5 - Image Captioning

• Image Captioning - Show and Tell: A Neural Image Caption Generator Implementation (Code)

Week6 - Neural Style Transfer & TensorBoard

• Neural Style Transfer - A neural algorithm of artistic style Implementation (Code)
• Linear Regression with TensorBoard (Code)
• MNIST Classification with summaries for TensorBoard (Code)

Week7 - Generative Model - Variational AutoEncoder(VAE) & Generative Adversarial Networks(GAN)

• Variational AutoEncoder(VAE) Implementation (Code)
• Generative Adversarial Networks(GAN) Implementation (Code)
• MNIST Data Generation using Generative Adversarial Networks(GAN) 😄 (Code)

Week8 - Autopilot

• Autopilot - Learning a Driving Simulator Implementation (Code)

Week9 - Semantic Image Segmentation

• Semantic Image Segmentation - Fully Convolutional Networks for Semantic Segmentation Implementation (Code)

Week10 - Brain Tumor Segmentation & Object Detection & Reinforcement Learning)

• BRATS Data Example (Code)
• Brain Tumor Segmentation - Fully Convolutional Networks for Semantic Segmentation Implementation for BRATS Dataset (Code)
• Object Detection - You Only Look Once: Unified, Real-Time Object Detection Implementation (Code)
• Object Detection (Code)
• Reinforcement Learning - DQN - Simple Catch Game (Code)

Appendix

• Word2Vec Example (Code)

References

[1] https://www.tensorflow.org/