Reading Time: 8 minutes 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 …
Tag: machine-translation
Reading Time: 8 minutes 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 using the …
Reading Time: 3 minutes 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 is great …
Reading Time: 4 minutes 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, I'm gonna …
Reading Time: 3 minutes 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 of the …
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