CHERIFI Imane - OpenGenus IQ: Learn Algorithms, DL, System Design

Semantic Segmentation for Self-driving cars

In this article, we will choose a model and fine-tune it to segment a dataset designed for autonomous driving. This involves buildings and road segmentation.

Deep Learning

Back-propagation Through Time (BPTT) [Explained]

Back-propagation is the most widely used algorithm to train feed forward neural networks. The generalization of this algorithm to recurrent neural networks is called Back-propagation Through Time (BPTT).

Deep Learning

Fault Detection System: Predict defective solar module cells

In this article we will build a fault detection system using a deep learning model : EfficientNet to distinguish between defective and non-defective cells that are extracted from solar modules.

Deep Learning

The Vision Transformer

In 2020, Alexey Dosovitskiy et al used the transformer model to build a new network for image recognition called the vision transformer, that we will try to explain and to implement in this article.

Machine Learning (ML)

EfficientNet [model architecture]

Convnet have hit the memory limit it is time to look for more efficient ways to improve the accuracy. For that, we introduce in this article the EfficientNet model that suggests an efficient way for improving the performance of Convnets.

Machine Learning (ML)

Self-Supervised Learning [Explained]

For these reasons, it is impossible to further advance the deep learning field by only relying on supervised learning paradigms. We need intelligent systems that can generalize well without the need for labeled datasets, so how are researches evolving toward this goal?

Machine Learning (ML)

YOLO v5 model architecture [Explained]

Since 2015 the Ultralytics team has been working on improving this model and many versions since then have been released. In this article we will take a look at the fifth version of this algorithm YOLOv5.

Machine Learning (ML)

Radial Basis Function Neural Network

Radial Basis Function Neural Network (RBFNN) is one of the shallow yet very effective neural networks. It is widely used in Power Restoration Systems.

Machine Learning (ML)

Boltzmann Machines

Neural Networks are by far the most used connectionist model and one of them is the Boltzmann Machine that we will cover in this article.

Machine Learning (ML)

Deep Belief Network

Deep Belief Networks are unsupervised learning models that overcome these limitations. We will explore them in details in this article.