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Tensorflow 2.0 | Recurrent Neural Networks, LSTMs, GRUs

Sequence prediction course that covers topics such as: RNN, LSTM, GRU, NLP, Seq2Seq, Attention, Time series prediction
Free tutorial
Rating: 4.3 out of 5 (470 ratings)
29,416 students
1hr 1min of on-demand video
English
English [Auto]

RNN
LSTM
GRU
NLP
Seq2Seq
Attention
Time series

Requirements

  • Python
  • Numpy
  • Tensorflow or keras
  • Feed Forward Neural Networks
  • Back Propagation

Description

This is a preview to the exciting Recurrent Neural Networks course that will be going live soon. Recurrent Networks are an exciting type of neural network that deal with data that come in the form of a sequence. Sequences are all around us such as sentences, music, videos, and stock market graphs. And dealing with them requires some type of memory element to remember the history of the sequences, this is where Recurrent Neural networks come in.


We will be covering topics such as RNNs, LSTMs, GRUs, NLP, Seq2Seq, attention networks and much much more.


You will also be building projects, such as a Time series Prediction, music generator, language translation, image captioning, spam detection, action recognition and much more.


Building these projects will impress even the most senior machine learning developers; and will prepare you to start tackling your own deep learning projects with real datasets to show off to your colleagues or even potential employers.


Sequential Networks are very exciting to work with and allow for the creation of very intelligent applications. If you’re interested in taking your machine learning skills to the next level, then this course is for you!

Who this course is for:

  • machine learning developers
  • Data Scientiests

Instructors

Developer
  • 4.5 Instructor Rating
  • 31,037 Reviews
  • 204,885 Students
  • 9 Courses

Jad studied mechanical engineering at the University of Ottawa. Jad also has extensive experience in software development, cloud development, machine learning, computer vision, mathematical modeling, computer simulation, and intelligent systems. Jad has also developed many deep learning applications, and is currently pursuing an interest in autonomous machines and Full Stack Development.

  • 4.6 Instructor Rating
  • 19,881 Reviews
  • 150,380 Students
  • 7 Courses

   Hi I'm Amer. I'm a full-time developer with a specialized interest in Artificial intelligence (AI).  AI is now taking on more sophisticated roles that can truly amplify human capabilities.

   With a background in Mechanical Engineering and computer science I have always looked for ways to use the power of AI to create practical solutions that revolutionize the way we live.

I aim to make artificial intelligence more accessible to all students, no matter the skill level! 

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