Deep Learning: Advanced NLPs and RNNs are the names of a series of machine learning and artificial intelligence video tutorials in the Deep Learning branch. Your course as an advanced course in deep learning addresses complex and specialized issues. You will study Natural Language Processing using Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and network memory in this course. According to the publisher of this course you will achieve a higher level of thinking by watching this course.
By watching this course, you will be able to design a text classification system to detect spam, analyze weaknesses, and similar problems. You will also learn how to build other systems such as building a memory network by watching this course.
Features of Deep Learning: Advanced NLP and RNNs
Dear students, by learning and learning this advanced course, you will become familiar with the concept of deep learning and will be able to build artificial intelligence systems using this knowledge. Also, dear students, you will have 62 video tutorials to watch all the sessions and learn the lessons.
- Publisher: Udemy
- Instructor: Lazy Programmer Inc.
- Level: Advanced
- Duration: 08:01:55
- Number of lessons: 62 lessons
- English language
Deep Learning: Advanced NLP and RNNs
Sequence-to-sequence models (Seq2Seq)
Understand what deep learning is for and how it is used
Decent Python coding skills, especially data science tools (Numpy, Matplotlib)
Preferable to have experience with RNNs, LSTMs, and GRUs
Preferable to have experience with Keras
Preferable to understand word embeddings
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This tutorial has English subtitles.
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