just another programmer blog
Featured image is from analyticsvidhya.com Update (June 19, 2019): Recently, I revisit this case and found out the latest version of Keras==2.2.4 and tensorflow-gpu==1.13.1 make customizing VGG16 easier. For example, we can use pre-trained VGG16 to fit CIFAR-10 (32×32) dataset just like this: X, y = load_cfar10_batch(dir_path, 1) base_model = VGG16(include_top=False, weights=vgg16_weights, input_shape=(32, 32, 3))… Read More
Abstract Deep learning has shown promise to augment radiologists and improve the standard of care globally. Two main issues that complicate deploying these systems are patient privacy and scaling to the global population. To deploy a system at scale with minimal computational cost while preserving privacy we present a web delivered (but locally run) system… Read More
So you have learned a bit about machine learning and web crawling. Now you are excited to build something simple yet still useful. What can you make? Here is one idea. Let’s say you managed a Facebook Page for your business or community and want to regularly post relevant news or articles from the internet…. Read More
If you spend some time browsing, there are some examples already available for Python SIFT/SURF bag of words (BoW) classifier in the internet. They use clustering (usually K-Means) to build dictionary of visual vocabularies (usually with sklearn or cv2 clustering library) of SIFT/SURF features. However, most of the sample codes that I found can’t properly… Read More
I stumbled upon a question in the internet about how to make price prediction based on price history in Android. Assuming the history size is quite small (few hundreds) and the attribute is not many (less than 20), I quickly thought that Weka Java API would be one of the easiest way to achieve this…. Read More
