Computer Vision and Machine learning blog
Image Classification With Transfer Learning (TL)
Transfer learning is a type of machine learning that uses a pre-trained neural network to speed up the learning process of a new task.
List of 11 GANs Architectures For Computer Vision Tasks
Generative adversarial networks (GAN) is a type of artificial intelligence algorithm used in unsupervised machine learning and is a two-player neural network composed of a generator and a discriminator.
Learning: Supervised, Unsupervised, Self-Supervised & Semi-Supervised
Learning algorithms can be divided into four categories according to the amount of supervision they require: supervised, unsupervised, self-supervised, and semi-supervised.
Reinforcement Learning: Theory and Examples
Reinforcement learning is a type of machine learning algorithm that allows machines to learn how to achieve the desired outcome by trials
Best Practices for Image Processing & Computer Vision
Computer vision and image processing are two of the most fascinating areas of research in the world of computer science. There are endless
What are the Pros and Cons of Using Python for Machine Learning?
Python has become a popular language for machine learning in recent years. But what are the pros and cons of using Python for this purpose…
Which is Better: TensorFlow or Pytorch?
In this blog post, we will compare two of the most popular deep learning libraries: TensorFlow and Pytorch. We will go over their different
10 Skills Every Data Scientist Should Know
Data science is one of the most in-demand fields today. If you are looking to make a career change and become a data scientist, there are
10 Interesting Facts about Computer Vision
Computer vision is all around us. It is the technology that enables computers to see, recognize and act on what they detect