Are you looking for a simple, flexible, and powerful deep learning library, and build a nice GUI for them? You can deliver enterprise-grade AI solutions easily by combining Keras and Python4Delphi library, inside Delphi and C++Builder.
Keras is a high-level neural networks API for Python. Keras acts as an interface for the TensorFlow library.
Keras is designed for human beings, not machines.
Unlock the Power of Python for Deep Learning with Diffusion Model - The Engine behind Stable Diffusion
December 23, 2024
Deep learning is a subset of machine learning, which is a subset of artificial intelligence (AI), the technology behind the most exciting capabilities in robotics, natural language processing, image and video recognition, large language models (LLMs), generative AI…
Unlock the Power of Python for Deep Learning with Radial Basis Function Networks (RBFNs)
August 2, 2024
Deep learning algorithms work with almost any kind of data and require large amounts of computation power and information to solve complicated issues. Now, let us, deep-dive, into one of the most powerful deep learning algorithms: Radial basis function networks…
Unlock the Power of Python for Deep Learning with Generative Adversarial Networks (GANs) - The Engine behind DALL-E
April 9, 2024
Deep learning algorithms work with almost any kind of data and require large amounts of computing power and information to solve complicated issues. Now, let us, deep-dive, into one of the most famous deep learning algorithms: Generative adversarial networks (GANs).
Generative adversarial networks (GANs) are an exciting (and relatively) recent innovation in machine learning and deep learning.
In this tutorial, we will explore the powerful capabilities of DelphiFMX and delve into the fascinating realm of K-means clustering visualization. Imagine easily analyzing and visualizing data patterns, empowering users to gain valuable insights and make data-driven…
In order to solve complicated issues, deep learning algorithms need enormous volumes of data and computational power. They can operate with nearly any form of data. The Long-Short-Term Memory Networks (LSTM), one of the most well-known deep learning techniques, will now be…
Deep learning algorithms can work with almost any type of data and require massive amounts of computing power and data to solve complex problems. Let us now take a deep dive into one of the most well-known deep learning algorithms: the Recurrent Neural Network (RNN).
If you are looking for Convolutional Neural Network algorithm, read our article about it here:
Unlock the Power of Python for…
Deep learning algorithms work with almost any kind of data and require large amounts of computing power and information to solve complicated issues. Now, let us, deep-dive, into one of the most famous deep learning algorithms: Convolutional Neural Network (CNN).
If you…
Python is great for AI and Machine Learning. Working with AI and ML libraries, however, sometimes can be a challenge.
That’s why APILayer, which belongs to the Idera family like Embarcadero, has no less than seven APIs designed to make your life easier as you deploy…
Are you looking for the easiest way to implement Deep Learning for Computer Vision and build a nice GUI for them, and all of them are free? You can deliver end-to-end Deep Learning for Computer Vision solutions easily by combining GluonCV and Python4Delphi library, inside your Delphi or C++Builder IDE software.
This post will guide you on how to run the GluonCV library and use Python for Delphi…
