There are lots of examples of machine learning systems that can recognize objects and extract other information from images with very high precision. To train the models of such systems is necessary (I guess) a computer with a lot of computational power. My question is: For a system with images as inputs, depending on the complexity of the problem, is feasible to train a model in an average laptop? It will take to much time?I know the time taken to train any machine learning model will be a function of lots of variables. I really don't expect a quantitative answer here, I just want to know whether I will be forced to upgrade my computer to develop and train machine learning models that have images as inputs.
Is it feasible to train a Machine Learning Model (with image inputs) in an average personal computer?
neural networks;machine learning;image recognition;training;computer vision