Our future is at stake, and it’s a future in which you have an active role to play: after reading this book, you’ll be one of those who develop those AI systems. So let’s tackle these questions: what has deep learning achieved so far? How significant is it? Where are we ...
What is GitHub? More than Git version control in the cloud Sep 06, 202419 mins reviews Tabnine AI coding assistant flexes its models Aug 12, 202412 mins Show me more how-to How to use resource-based authorization in ASP.NET Core
There are numerous types of neural networks in existence, and each of them is pretty useful for image recognition. However, convolution neural networks(CNN) demonstrate the best output with deep learning image recognition using the unique work principle. Several variants of CNN architecture exist; th...
The idea behind this mathematical model is that light gets scattered by the suspended particles in the air (haze) before reaching the lens of the camera. The amount of light actually captured depends both on how much haze is present, which is reflected inβ, and also how far the object is...
In Unsupervised Learning, data labels are entirely missing. A deep network will need to train entirely using unstructured data. This makes the Image Dehazing problem even more challenging. For example,SkyGANis an unsupervised dehazing model which utilizes a Generative Adversarial Network (GAN) architec...
Adds support for .dlpk format to the from_model() function in all models Adds message to install gdal if using multispectral data with prepare_data() Adds support for Meta Raster Format (MRF) tiles Adds driver-related Pytorch along with torch.cuda.is_available() when deciding between using ...
What Is Keras Core? In short, Keras Core is the first effort to end the 100-year war of Deep Learning Frameworks and unite forces for a better and “open” artificial intelligence (AI) future. We are obviously joking, but our opening statement is not completely untrue. To quote the actua...
Abhijit is a Technical Research Analyst specializing in Deep Learning. He holds a degree in Computer Science with a focus on Data Science. Being proficient in Python, Scala, C++, Dart, and R, he is passionate about new-age technologies. Abhijit crafts insightful analyses and impactful content,...
In this article learn what cross-validation is and how it can be used to evaluate the performance of machine learning models. Get a beginner's guide to cross-validation.
Many batch normalization techniques require multiple GPUs operating in tandem. YOLOv4 uses DropBlock regularization. In DropBlock, sections of the image are hidden from the first layer. DropBlock is a technique to force the network to learn features that it may not otherwise rely upon. For ...