CARLOS QUIROS
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,
– Word2Vec,
– Glove,
– FastText,
– Universal Sentence Encoder,
– RNN,
– GRU,
– LSTM,
– Convolutions in 1D,
– Seq2Seq,
– Memory Networks,
– and the Attention mechanism.
This course offers you many examples, with different datasets suchs as:
Instructor Details
Courses : 3
Specification: Deep Learning for NLP with TensorFlow
|
8 reviews for Deep Learning for NLP with TensorFlow
Add a review
| Price | $19.99 |
|---|---|
| Provider | |
| Duration | 8.5 hours |
| Year | 2019 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$19.99
Bala Deshpande –
i really wanted to like this course because of the promising content. however the delivery is so monotonous that it is hard to absorb. the instructor clearly is an expert, but tends to simply read off densely texted slides.
Sagar Sheth –
Good practical knowledge on advanced techniques
Erick Parolin –
In most of the classes the instructor is reading slides. I could have read slides or other forum websites by myself. I was looking for something more didactic so I could save some time.
Ranvir –
Basics at the beginning of course were good. Word embeddings explained well. As course moved towards autoencoders, theorotical explaination felt short also practical lessons could have been more detailed. But overall it gave good flavour of nlp.
Rabab –
The course is really good and highly recommended!
Kuldeep Singh Arya –
great
Ken –
I learned a lot about NLP. Thanks.
Karen Bogatin –
This course is an excellent learning tool even though there is code that encountered errors