AI Academy #3: Learn Artificial Neural Networks from A-Z
Learn different types of Neural Networks like Multi layer Perceptron, Recurrent Networks and LSTMs. SourceCodes Included
3.70 (19 reviews)
2,114
students
4.5 hours
content
Jan 2019
last update
$54.99
regular price
What you will learn
Learn how Neural Networks work.
Learn how Gradient Descent trained a neural network.
Program Multilayer Perceptron Network from scratch in python.
Learn how to use MLPClassifier for their purposes.
You'll know how recurrent neural networks work.
You'll learn how to create LSTM networks using python and Keras
You'll learn how to predict NASDAQ Index by using LSTMs.
You'll know how to forecast Google stock price with high accuracy
Classify datasets by using Support Vector Machine method
Why take this course?
š **AI Academy #3: Master Artificial Neural Networks from A-Z** š
š **Course Title:** Learn Different Types of Neural Networks like Multi Layer Perceptron, Recurrent Networks, and LSTMs. Source Codes Included!
š¤ **Course Headline:** Are you ready to unlock the power of Artificial Neural Networks? Dive into MLP, RNNs, and LSTMs with real-world applications in forecasting economic time series and weather patterns with ease!
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**Are you fascinated by the prospect of using Artificial Intelligence to predict complex data with high accuracy?** Let's dive into the world of Artificial Neural Networks (ANNs) ā the backbone of modern AI!
In this comprehensive course, you'll embark on a journey to learn and apply neural networks using Python, Scikit-learn, and Keras. Whether you're new to neural networks or looking to sharpen your skills, this course has something for everyone.
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**š **Module 1: Introduction to Multilayer Perceptron (MLP) with Scikit-learn & Keras in Python**
- Understand the fundamentals of MLP and how it works.
- Implement an MLPClassifier using Scikit-learn to classify various datasets.
- Explore practical examples, including:
- Logic Gates
- Vehicles Datasets
- Generated Datasets
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**š **Module 2: Time Series Forecasting with Keras**
- Discover how to use neural networks for forecasting.
- Work with real-world datasets to predict outcomes.
- Engage with hands-on projects such as:
- Random Datasets
- International Airline Passengers Forecasting
- Los Angeles Temperature Forecasting
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**š **Module 3: Building Recurrent Neural Networks (RNNs) & Long Short-Term Memory Networks (LSTMs)**
- Learn the intricacies of RNNs and LSTMs.
- Start with basic examples to grasp the concepts.
- Advance to more complex projects like forecasting:
- Google Stock Price
- NASDAQ Index
- New York Temperature
- New York Wind Speed
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**š” **Key Features of the Course:**
- **Practical Applications:** Learn by applying neural networks to real-world datasets.
- **Step-by-Step Guidance:** From basics to advanced techniques, you'll grow your expertise at your own pace.
- **Source Codes Included:** Get instant access to all the code you need to follow along and experiment.
- **Continuous Updates:** Receive any updates or new content added to the course free of charge.
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š” **Before You Enroll, Keep These Points in Mind:**
- **Satisfaction Guarantee:** If you find this course not beneficial for your career goals within 30 days, you'll receive a full refund ā no questions asked!
- **Lifetime Access:** Once enrolled, you have unlimited access to the course materials.
- **Free Course Updates:** Any new content or updates will be provided to you at no additional cost.
- **Full Support:** I am dedicated to providing you with support and answering any questions you may have regarding the course.
- **Preview Lectures:** Check out a selection of free preview lectures to get a taste of what's in store!
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š **Ready to Embark on Your AI Journey?**
Take control of your learning and master Artificial Neural Networks with AI Academy #3. Click the "Take This Course" button now and join me on this exciting educational adventure! š
Remember, every second is an opportunity to learn something new. Don't delay ā your future self will thank you for it!
Best Regards,
Sobhan šāØ
Reviews
Tharindu
July 13, 2019
This course is amazing and above my expectations! Very good exercises, good speed, well communicated. The instructor made me feel very comfortable and was able to take many things away. Excellent content and very knowledgeable instructor!
Sardorbek
February 13, 2019
To be honest, I did not know how to compose the code in order to make prediction. With the help of these courses I have learned how to predict and write codes properly. All the courses were well- organized and helpful, and it were those courses which I was looking for.
Maruthi
November 13, 2018
Sobhan explains the each and every topic in an easy manner, any one who dont have much background in data mining can also understand with his ease explanation.
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2005068
udemy ID
11/3/2018
course created date
6/23/2019
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