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Tensorboard Embedding Visualization

Introduction At November 29, TensorFlow 0.12 was released. One of the functions is visualization of embedded representation. This makes it possible to analyze high dimensional data interactively. The following is a visualization of MNIST. The following is just a image, but you can watch 3D animation in the official website. In this article, I tried … Read more

Why Is Word Embeddings Important For Natural Language Processing

You may be familiar with Word2vec (Mikolov et al., 2013). Word2vec allows you to add and subtract words as though they are capturing the meaning of a word. For example, it is famous that Queen is calculated by subtracting Man from King and adding Woman (King — Man + Woman = Queen). from https://www.tensorflow.org/get_started/embedding_viz Distributed representations, also … Read more

The List Of Pretrained Word Embeddings

The information of word embedding is on the GitHub. Introduction Word embeddings are a technique that represents words as vectors of real numbers in a low-dimensional space (typically 200 dimensions or more). A key feature is that words with similar meanings are mapped to vectors that are close to each other in this space. This … Read more

Deep Learning Enables You To Hide Screen When Your Boss Is Approaching

Introduction When you are working, you have browsed information that is not relevant to your work, haven’t you? I feel awkward when my boss sneaks up behind me. While I can quickly switch screens, such behavior looks suspicious, and sometimes I don’t notice him approaching. To avoid this issue without raising suspicion, I created a … Read more

Extracting Information from Business Card with Google API

Introduction Do you have Business Cards? In Japanese business customs(I’m Japanese), Business cards(called “Meishi”) are essential. But if there are a lot of business cards, it is annoying to manage. So, I want to manage it easily. I decided to extract information from business card by taking business card image with my smartphone. The processing … Read more