Artificial Intelligence #6 : LSTM Neural Networks with Keras
Artificial Intelligence #6 : LSTM Neural Networks with Keras, available at $39.99, has an average rating of 3.1, with 27 lectures, based on 107 reviews, and has 1607 subscribers.
You will learn about 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. You'll learn how to predict NASDAQ Index by using LSTMs. You'll know how to use power of neural networks to forecast wind speed of New York. This course is ideal for individuals who are Anyone who wants to learn Recurrent Neural Networks and LSTMs or Anyone who want to forecast stock market time series. or Anyone who wants to learn Keras or Learners who want to work in data science and big data field or students who want to learn machine learning or Data analyser, Researcher, Engineers and Post Graduate Students It is particularly useful for Anyone who wants to learn Recurrent Neural Networks and LSTMs or Anyone who want to forecast stock market time series. or Anyone who wants to learn Keras or Learners who want to work in data science and big data field or students who want to learn machine learning or Data analyser, Researcher, Engineers and Post Graduate Students.
Enroll now: Artificial Intelligence #6 : LSTM Neural Networks with Keras
Summary
Title: Artificial Intelligence #6 : LSTM Neural Networks with Keras
Price: $39.99
Average Rating: 3.1
Number of Lectures: 27
Number of Published Lectures: 27
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: £94.99
Quality Status: approved
Status: Live
What You Will Learn
- 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.
- You'll learn how to predict NASDAQ Index by using LSTMs.
- You'll know how to use power of neural networks to forecast wind speed of New York.
Who Should Attend
- 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
Target Audiences
- 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
Do you like to learn how to forecast economic time series like stock price or indexes with high accuracy?
Do you like to know how to predict weather data like temperature and wind speed with a few lines of codes?
If you say Yesso read more …
Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems “learn” to perform tasks by considering examples, generally without being programmed with any task-specific rules.
A recurrent neural network (RNN) is a class of artificial neural network where connections between nodes form a directed graph along a sequence. This allows it to exhibit temporal dynamic behavior for a time sequence. Unlike feedforward neural networks, RNNscan use their internal state (memory) to process sequences of inputs.
In this course you learn how to build RNN and LSTMnetwork in python and keras environment. I start with basic examples and move forward to more difficult examples.
In the 1st section you’ll learn how to use python andKeras to forecast google stock price .
In the 2ndsection you’ll know how to use python andKeras to predict NASDAQ Indexprecisely.
In the 3rd section you’ll learn how to use python andKeras to forecast New York temperature with low error.
In the 4thsection you’ll know how to use python andKeras to predict New York Wind speedaccurately.
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Important information before you enroll:
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In case you find the course useless for your career, don’t forget you are covered by a 30 day money back guarantee, full refund, no questions asked!
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Once enrolled, you have unlimited, lifetime access to the course!
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You will have instant and free access to any updates I’ll add to the course.
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You will give you my full support regarding any issues or suggestions related to the course.
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Check out the curriculum and FREE PREVIEW lecturesfor a quick insight.
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Click the “Take This Course” button at the top right now!
...Don’t waste time! Every second of every day is valuable…
I can’t wait to see you in the course!
Best Regrads,
Sobhan
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Required Softwares and Libraries
Chapter 2: Recurrent Neural Networks and LSTMs
Lecture 1: Recurrent neural networks and LSTMs theory
Chapter 3: Predict Google stock price using LSTMs
Lecture 1: Predict Google stock price using LSTMs – Part1
Lecture 2: Predict Google stock price using LSTMs – Part2
Lecture 3: Predict Google stock price using LSTMs – Part3
Lecture 4: Predict Google stock price using LSTMs – Part4
Lecture 5: Predict Google stock price using LSTMs – Part5
Lecture 6: Predict Google stock price using LSTMs – Source Code
Chapter 4: Forecast NASDAQ Index using LSTMs and Keras library
Lecture 1: Forecast NASDAQ Index using LSTMs and Keras library – Part1
Lecture 2: Forecast NASDAQ Index using LSTMs and Keras library – Part2
Lecture 3: Forecast NASDAQ Index using LSTMs and Keras library – Part3
Lecture 4: Forecast NASDAQ Index using LSTMs and Keras library – Part4
Lecture 5: Forecast NASDAQ Index using LSTMs and Keras library – Part5
Lecture 6: Forecast NASDAQ Index using LSTMs and Keras library – Source Code
Chapter 5: Predict New York annual temperature using LSTMs
Lecture 1: Predict New York annual temperature using LSTMs – Part 1
Lecture 2: Predict New York annual temperature using LSTMs – Part 2
Lecture 3: Predict New York annual temperature using LSTMs – Part 3
Lecture 4: Predict New York annual temperature using LSTMs – Part 4
Lecture 5: Predict New York annual temperature using LSTMs – Part 5
Lecture 6: Predict New York annual temperature using LSTMs – Source Code
Chapter 6: Forecast New York wind speed using LSTMs and Keras library
Lecture 1: Forecast New York wind speed using LSTMs and Keras library – Part 1
Lecture 2: Forecast New York wind speed using LSTMs and Keras library – Part 2
Lecture 3: Forecast New York wind speed using LSTMs and Keras library – Part 3
Lecture 4: Forecast New York wind speed using LSTMs and Keras library – Part 4
Lecture 5: Forecast New York wind speed using LSTMs and Keras library – Part 5
Lecture 6: Forecast New York wind speed using LSTMs and Keras library – Source Code
Instructors
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Sobhan N.
AI Developer|Electrical Engineer (PhD)|21,000+ Students
Rating Distribution
- 1 stars: 30 votes
- 2 stars: 14 votes
- 3 stars: 22 votes
- 4 stars: 15 votes
- 5 stars: 26 votes
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