實作Tensorflow (6)：Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
Posted on November 25, 2017 in AI.ML. View: 12,738
實作Tensorflow (5)：Word2Vec
Posted on November 19, 2017 in AI.ML. View: 6,207
Word2Vec觀念解析 / Word2Vec的架構 / Word2Vec的兩種常用方法：Skip-Gram和CBOW / 準備文本語料庫 / 實作Skip-Gram / 實作CBOW (Continuous Bag of Words)
Continue reading
實作Tensorflow (4)：Autoencoder
Posted on November 18, 2017 in AI.ML. View: 13,797
Autoencoder觀念解析 / Autoencoder程式碼 / 測試Autoencoder / 壓縮碼Code與視覺化 / 去雜訊(De-noise) Autoencoder
Continue reading
實作Tensorflow (3)：Build First Convolutional Neurel Network (CNN)
Posted on November 12, 2017 in AI.ML. View: 8,104
影像有什麼特性 / DNN用在影像上的侷限 / Convolutional Neurel Network (CNN) / Convolution Layer / Pooling Layer / 最簡單的CNN架構：LeNet5 / 圖像化
Continue reading
實作Tensorflow (2)：Build First Deep Neurel Network (DNN)
Posted on November 07, 2017 in AI.ML. View: 5,671
增加Hidden Layer / Activation Function的選擇 / Mini-Batch Gradient Descent / Regularization / Weight Regularization / Dropout / Optimizer的選擇 / 來看看程式怎麼寫
Continue reading
實作Tensorflow (1)：Simple Logistic Classification on MNIST
Posted on October 23, 2017 in AI.ML. View: 5,674
MNIST Dataset / Softmax / Cross-Entropy Loss / 分離數據的重要性 / Tensorflow工作流程 / Tensorflow的基本「張量」元素 / Session的操作 / 第一個Tensorflow Model
Continue reading