Reading Time: 4 minutes Introduction MLOps or ML Ops is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.The word is a compound of “machine learning” and the continuous development practice of DevOps in the software field. MLOps is slowly evolving into an independent approach to ML lifecycle management. It applies to the entire lifecycle – data gathering, model creation (software development lifecycle, continuous integration/continuous delivery), orchestration, Continue Reading

Reading Time: 2 minutes What is TensorFlow? Tensorflow is an open-source library for numerical computation and large-scale machine learning that ease Google Brain TensorFlow, the process of acquiring data, training models, serving predictions, and refining future results. How Tensorflow and Keras used for Image Classification This blogs shows how to classify images of wheat classes. It creates an image classifier using a keras.Sequential model, and loads data using preprocessing.image_dataset_from_directory. You will gain practical experience Continue Reading

Reading Time: 3 minutes What is Object Detection ? Object detection involves detecting instances of objects from a particular class in an image. Background. Object detection has been widely used for face detection, vehicle detection, pedestrian counting, web images, security systems and driverless cars. Or, Object detection is a computer vision technique that allows us to identify and locate objects in an image or video. Here in our case we have Continue Reading