Ah. But what are Keras and AutoKeras ? 💬

Keras is one of the most widely used deep learning frameworks, along with TensorFlow. It provides an API that is easy for machine learning beginners to learn, while still having high-level functionality.

AutoKeras is an AutoML system developed based on Keras. With the goal of "making machine learning accessible to everyone," this framework allows anyone to easily and simply learn and predict with just a few lines of code based on network shapes for efficient neural architecture search.

So, where can it be used?

The most difficult part of machine learning models is the decision of modeling method and parameter tuning, and the trial and verification of deep learning networks. In other words, you have to repeat experiments until you get the right results and design the right model. However, if you use AutoKeras, you can automate this process with just a short amount of code. It will help you find the right model in machine learning through multiple trials and the more ideal model and results.

Learning Objectives for this Course 📜

• Learn the basic usage by comparing AutoKeras and Keras.
• Leverage image classification models with AutoKeras.
• It uses AutoKeras' detailed features and multiple architectures.
• We will use examples to preprocess data and create a model to predict it using AutoKeras.

How you will look after taking this course 📚

• You can learn about the difference between Keras and AutoKeras.
• You can create a model using basic usage of Keras and AutoKeras.
• You can create an AutoKeras model for image classification and check the prediction results through the mnist example.
• You can define the search space through AutoModel and create a prediction model through ImageClassifer.
• You can build predictive models and check the results through AutoKeras based on various examples.
  

Check out the lecture content in advance!