A neural network that transforms a design mock-up into a static website.

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

實作基於CNN的台鐵訂票驗證碼辨識以及透過模仿及資料增強的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha and data augmentation)

A self driving toy car using end-to-end learning

Keras Implementations of Deep Learning Architectures for NLP

🔥 Reproducibly benchmarking Keras and PyTorch models

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Keras implementation of a ResNet-CAM model

CNN | Keras/PyTorch | CAPTCHA recognition（卷积神经网络、Keras/PyTorch框架、验证码识别）

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Style transfer using deep convolutional neural nets

Build a CNN network to predict 3D bounding box of car from 2D image.

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

Classify UCF101 videos using one frame at a time with a CNN(InceptionV3)

卷积神经网络实现的验证码识别

Object classification with CIFAR-10 using transfer learning

基于CNN的验证码整体识别

Object localization in images using simple CNNs and Keras

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

台鐵驗證碼辨識/轉文字 API

CNN image classifier implemented in Keras Notebook 🖼️.

This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.

Skin cancer detection project

A Simple Deep Neural Network to classify images made with Keras

A deep learning based approach for brain tumor MRI segmentation.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Video to Text: Generates description in natural language for given video (Video Captioning)

2017 Spring (105-2) -- Machine Learning

人脸识别与卡通化

Classify EMNIST Digits using Convolutional Neural Networks