Natural Language Processing (NLP) is a hot topic into Machine Learning field.
This course is an advanced course of NLP using Deep Learning approach.
Before starting this course please read the guidelines of the lesson 2 to have the best experience in this course.
This course starts with the configuration and the installation of all resources needed including the installation of Tensor Flow 1.X CPU/GPU, Cuda and Keras. You will be able to use your GPU card if you have one, to accelate fastly the training processes of your models. However if you dont have a GPU card you can follow the instructions using Google Colab.
After that we are going to review the main concepts of Deep Learning in the Chapter 2 for applying them into the Natural Language Processing field offering you a solid background for the main chapter.
In the main Chapter 3 we are going to study the main Deep Learning libraries and models for NLP such as:
– Word Embeddings,
– Universal Sentence Encoder,
– Convolutions in 1D,
– Memory Networks,
– and the Attention mechanism.
This course offers you many examples, with different datasets suchs as:
Courses : 3
Specification: Deep Learning for NLP with TensorFlow
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