• How to Save and Load Your Keras Deep Learning Model
    by Jason Brownlee on 18 juni 2022 at 19:00

    Keras is a simple and powerful Python library for deep learning. Given that deep learning models can take hours, days and even weeks to train, it is important to know how to save and load them from disk. In this post, you will discover how you can save your Keras models to file and load them The post How to Save and Load Your Keras Deep Learning Model appeared first on Machine Learning Mastery.

  • Your First Deep Learning Project in Python with Keras Step-By-Step
    by Jason Brownlee on 17 juni 2022 at 19:00

    Keras is a powerful and easy-to-use free open source Python library for developing and evaluating deep learning models. It is part of the TensorFlow library and allows you to define and train neural network models in just a few lines of code. In this tutorial, you will discover how to create your first deep learning neural The post Your First Deep Learning Project in Python with Keras Step-By-Step appeared first on Machine Learning Mastery.

  • Using Normalization Layers to Improve Deep Learning Models
    by Zhe Ming Chng on 14 juni 2022 at 15:51

    You’ve probably been told to standardize or normalize inputs to your model to improve performance. But what is normalization and how can we implement it easily in our deep learning models to improve performance? Normalizing our inputs aims to create a set of features that are on the same scale as each other, which we’ll The post Using Normalization Layers to Improve Deep Learning Models appeared first on Machine Learning Mastery.

  • Introduction to the Python Deep Learning Library TensorFlow
    by Jason Brownlee on 9 juni 2022 at 19:00

    TensorFlow is a Python library for fast numerical computing created and released by Google. It is a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow. In this post you will discover the TensorFlow library for Deep Learning. The post Introduction to the Python Deep Learning Library TensorFlow appeared first on Machine Learning Mastery.

  • Python for Machine Learning (7-day mini-course)
    by Adrian Tam on 1 juni 2022 at 19:09

    Python for Machine Learning Crash Course. Learn core Python in 7 days. Python is an amazing programming language. Not only it is widely used in machine learning projects, you can also find its presence in system tools, web projects, and many others. Having good Python skills can make you work more efficiently because it is The post Python for Machine Learning (7-day mini-course) appeared first on Machine Learning Mastery.

  • Developing a Python Program Using Inspection Tools
    by Adrian Tam on 28 mei 2022 at 21:47

    Python is an interpreting language. It means there is an interpreter to run our program, rather than compiling the code and running natively. In Python, a REPL (read-eval-print loop) can run commands line by line. Together with some inspection tools provided by Python, it helps to develop codes. In the following, you will see how The post Developing a Python Program Using Inspection Tools appeared first on Machine Learning Mastery.

  • Monkey Patching Python Code
    by Adrian Tam on 21 mei 2022 at 14:00

    Python is a dynamic scripting language. Not only does it have a dynamic type system where a variable can be assigned to one type first and changed later, but its object model is also dynamic. This allows us to modify its behavior at run time. A consequence of this is the possibility of monkey patching. The post Monkey Patching Python Code appeared first on Machine Learning Mastery.