TensorFlow 2.0 Tutorial for Beginners

Learn how to use TensorFlow 2.0 in this tutorial for beginners. Sequence prediction course that covers topics such as: Recurrent Neural Networks (RNN), LSTM, GRU, NLP, Seq2Seq, Attention, Time series prediction
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Learn how to use TensorFlow 2.0 in this tutorial for beginners. Sequence prediction course that covers topics such as: Recurrent Neural Networks (RNN), LSTM, GRU, NLP, Seq2Seq, Attention, Time series prediction

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!

What you’ll learn

RNN
LSTM
GRU
NLP
Seq2Seq
Attention
Time series

Are there any course requirements or prerequisites?

Python
Numpy
Tensorflow or keras
Feed Forward Neural Networks
Back Propagation

Who this course is for:

Machine Learning Developers
Data Scientiests

#TensorFlow #MachineLearning #Morioh

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