Description
In this course you learn how to build RNN and LSTM network in python and keras environment. I start with basic and move forward to more difficult concepts.
Learning Outcomes
- You’ll know how recurrent neural networks work.
- You’ll know how to make simple neural network in Keras environment.
- You’ll learn how to create LSTM networks using python and Keras
- You’ll know how to increase accuracy and decrease error of recurrent neural networks
- You’ll know how to forecast google stock price with high accuracy
- You’ll learn how to use power of neural networks to forecast temperature of New York.
Requirements
- All you need is a decent PC/Laptop (2GHz CPU, 4GB RAM). You will get the rest from me.
- You should know about basic statistics
- You must know basic python programming
- Install Sublime and required library for python
- You should have a great desire to learn programming and do it in a hands-on fashion, without having to watch countless lectures filled with slides and theory.
Target Audience-
- Anyone who wants to learn Recurrent Neural Networks and LSTMs
- Anyone who want to forecast stock market time series.
- Anyone who wants to learn Keras
- Learners who want to work in data science and big data field
- students who want to learn machine learning
- Data analyser, Researcher, Engineers and Post Graduate Students
Course Features
- Lectures 7
- Quizzes 0
- Duration 30 Mins class each
- Skill level All levels
- Language English
- Students 145
- Assessments Yes