Hello everyone. It is now the greatest time of the year and here we are today, ready to to be amazed by Deep Learning. Last time, we have gone through a neural machine translation project by using the renowned Sequence-to-Sequence model empowered with Luong attention. As we already saw, introducing Attention Mechanisms helped improve the Seq2Seq model’s performance to a noticeably significant extent. For those who haven’t seen my last post, I recommend that you have a skim here) However, …
Tag: nlp
Hello guys, spring has come and I guess you’re all feeling good. Today, let’s join me in the journey of creating a neural machine translation model with attention mechanism by …
This week's topic is about Tensorflow Datasets (tensorflow_datasets), a new Tensorflow's package that I have tried out recently. This package may be the perfect solution which can eliminate all the …
皆様、こんにちは。Tranです。日本に来てからそろそろ５年間が経つところで、毎日の仕事で日本語を使っているのですが、日本語でブログを書くのは初めてです。さて、今回のトピックについてなんですけれども、最近出てきたtensorflow_datasetsをしばらく使ってみたので、勉強したことを共有したいと思います。 …
Hello everyone. I have some hot news for you: Tensorflow 2.0 has just been announced! This upgrade may come with the biggest change you have ever seen, not just the …
Hello everyone, I'm back. Welcome to the third post of Neural Machine Translation with Tensorflow (NMTwT) series. In previous posts, we walked through the data preparation and model creation, which …
What's up everybody. Welcome back to the Neural Machine Translation with Tensorflow series. Last time, we went through the process of creating the input pipeline using the tf.data API. Today, …
Hello everyone, I hope that you're all doing good. The weather is great this morning, so let's sit down to write some code. Today, I want to talk about one …
Hello guys! Here we are again to have some fun with deep learning. As of the previous post, we trained a model to generate text with Tensorflow. Today, I am …
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