Free Download Modern Natural Language Processing in Python, with this course you will have the option to Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab. It contains 38 recordings. Remember that numerous understudies are tried out this course Modern Natural Language Processing in Python, so don't hold on to download it presently, it's totally free. You can start learning Modern Natural Language Processing in Python by clicking the download link below.
Before you can start learning from this course explained in English (US) you need to have PC with Internet connection, Python Programming Skills, Recommended: Experience with TF20, Recommended: Google Collab.
Modern Natural Language Processing in Python is targeting for people that have interset in AI amateurs that are eager to learn how we process language nowadays, AI students that need to have a deeper and wider knowledge about NLP, Business driven people that are eager to know how NLP can be applied to their field to leverage any text data, Anyone who wants to start a new career and get a strong background in NLP, adding efficient cases to their portfolio.
Finally you will learn how to Build a Transformer, new model created by Google, for any sequence to sequence task (eg a translator), Build a CNN specialized in NLP for any classification task (eg sentimental analysis), Write a custom training process for more advanced training methods in NLP, Create customs layers and models in TF 20 for specific NLP tasks, Use Google Colab and Tensorflow 20 for your AI implementations, Pick the best model for each NLP task, Understand how we get computers to give meaning to the human language, Create datasets for AI from those data, Clean text data, Understand why and how each of those models work, Understand everything about the attention mechanism, lying behind the newest and most powerful NLP algorithms.