Tensorflow 2.0 | Recurrent Neural Networks, LSTMs, GRUs

Tensorflow 2.0 | Recurrent Neural Networks, LSTMs, GRUs, available at Free, has an average rating of 4.3, with 16 lectures, based on 447 reviews, and has 28264 subscribers.

You will learn about RNN LSTM GRU NLP Seq2Seq Attention Time series This course is ideal for individuals who are machine learning developers or Data Scientiests It is particularly useful for machine learning developers or Data Scientiests.

Enroll now: Tensorflow 2.0 | Recurrent Neural Networks, LSTMs, GRUs

Summary

Title: Tensorflow 2.0 | Recurrent Neural Networks, LSTMs, GRUs

Price: Free

Average Rating: 4.3

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

RNN
LSTM
GRU
NLP
Seq2Seq
Attention
Time series

Who Should Attend

machine learning developers
Data Scientiests

Target Audiences

machine learning developers
Data Scientiests

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction – Please watch

Lecture 2: Additional FREE Content

Lecture 3: Information on the Full Course

Chapter 2: Recurrent Neural Networks

Lecture 1: Introduction to Recurrent Neural Networks

Lecture 2: Back propogation through time

Lecture 3: Project Overview

Lecture 4: Preparing our data

Lecture 5: Training our network

Lecture 6: Final Source Code

Chapter 3: NumPy Crash Course (Optional)

Lecture 1: For those having trouble with NumPy

Lecture 2: Overview

Lecture 3: Arrays vs Lists

Lecture 4: Multidimensional arrays

Lecture 5: One Dimensional Slicing

Lecture 6: Reshaping

Lecture 7: Multidimensional Slicing

Instructors

Jad Slim
Developer
Amer Abdulkader
Developer

Rating Distribution

1 stars: 20 votes
2 stars: 21 votes
3 stars: 70 votes
4 stars: 159 votes
5 stars: 177 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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