TensorFlow

Parts - Really Straight to the Point and High Level Model Description Code Conclusion Model Description What is the MNIST dataset? MNIST (Modified National Institute of Standards and Technology) is a large database of handwritten digits that is super useful in training image classification models. The MNIST dataset is extremely rich, so we can get away with a basic AI architecture. The…

If you have ever tried to install TensorFlow-GPU with the compatible versions of CUDA and cuDNN, you know that it is probably one of every data scientist’s nightmares because of version mismatch! Well, you are in the right place to bypass this headache, because conda-forge have released the builds that…

by The Ogre — This is a list of articles (in chronology of their publication date) that Ogre writes when he gets too high with a concept and wishes to put everything, he knows about it on paper before he forgets all. These articles are intended for a self-revision. Deep Learning concepts for Medical Imaging — A shallow overview Computer Vision: Convolutional Neural Networks (CNNs) Computer Vision: MaxPooling and Dropouts

What I want to do: I want to use grayscale images as my input (input_shape = [128, 128, 1]) which only has one channel and at the same time, I want to use Inception models with pre-trained weights. Why other methods do not work for me: If we just change…

CreateML has made developing Machine Learning Models for use in Xcode remarkably easy. Almost Magic. However, as nice as the Apple’s rose garden is, there are times when other tools are needed. I will go over converting a Keras h5 model file to CoreML in the quickest and simplest way…

Disclaimer This article is written to establish intuition behind early stopping regularization technique. It does not describe or explain the algorithm or math behind the mechanism. Code sample is provided in TF Keras. An artificial neural network is a combination of artificial neurons which does some math and try to estimate…

Examples and code for building custom models with Keras Functional API — The Keras Functional API provides a way to build flexible and complex neural networks in TensorFlow. The Functional API is used to design networks that are not linear. In this article, you will discover that the Keras Functional API is used to create networks that: Are non-linear. Share layers. Have…

What is NUMA (Non-Uniformed Memory Access) Non-Uniform Memory Access (NUMA) is one of the computer memory design methods used in multiprocessor systems, and the time to access the memory varies depending on the relative position between the memory and the processor. In the NUMA architecture, when a processor accesses its local memory, it is faster than…