Deep Learning Tensor Operations: Flatten and Squeeze In this article at OpenGenus, we have explored the 2 fundamental operations in Deep Learning models that modify tensor structure that is Flatten and Squeeze op.
Deep Learning Adagrad: An Adaptive Gradient Algorithm for Optimization Adaptive Gradient Algorithm, abbreviated as Adagrad, is a gradient-based optimization algorithm first introduced in 2011.
Machine Learning (ML) Brightness and Contrast in Image Processing for ML Image processing is an important preprocessing step in machine learning because it can greatly improve the quality of the input data, which can in turn improve the performance of machine learning models.
Deep Learning 22 Deep Learning use-cases in Transportation In this article at OpenGenus, we will explore some of the uses of deep learning in modern day transportation and transport systems, and how it has improved the methods of transport we prefer today.
Deep Learning Building your own GPT code assistant In this article, we have explored how one can build their own GPT code assistant that is Code generation using GPT model architecture.