Basic Information
Course Name: Artificial Neural Network for Regression
Course Language: English
Course Platform: Udemy
Course Instructors: Hadelin de Ponteves，SuperDataScience Team，Ligency Team
Course Score: 4.5/5
Related Post: AI Free Courses – SetMyAI
Artificial Neural Network for Regression
Artificial Neural Network for Regression is a deep learning course that uses Python to build and implement artificial neural networks. Students will learn to use machine learning libraries, Tensorflow 2.0, and Google Colab to build an ANN regression model and apply it to power plant energy output prediction.
The course is divided into three parts, namely:
Part 1, Data Preprocessing: Learn how to import a dataset and split it into training and testing sets.
Part 2, Building ANN: Learning how to initialize an artificial intelligence network, add input layers, hidden layers, and output layers, and compile the artificial neural network.
Part 3, Training ANN: Learning to train the ANN model on the training set and predict the results on the test set.
This course is suitable for all students interested in machine learning and deep learning.
Course Review by SetMyAI
This course can help students gradually understand the knowledge of artificial neural networks. Students can learn how to apply Tensorflow 2.0 in Google Colab and demonstrate how to solve practical problems in Python through practical operations. SetMyAI believes that beginners in machine learning should not miss out on this free AI course.
Course Link:
Free Neural Networks Tutorial – Artificial Neural Network for Regression
