RyanMachine learning with Tensorflow — Fundamentals Convolution Neural NetworkConvolution neural network (CNN) is very suitable for image classification due to its use of spatial information. This neural network was…Aug 17, 2021Aug 17, 2021

RyanMachine learning with Tensorflow — DropoutIn the previous model with hidden layer achieved 99.97% of train accuracy, 97.51% of validation accuracy and 97.6% test accuracy. Let’s…Aug 13, 2021Aug 13, 2021

RyanMachine learning with Tensorflow — add hidden networkFrom previous Simple neural network, we’ve built our first neural network and got okay result. There are few ways to improve it.Aug 9, 2021Aug 9, 2021

RyanMachine learning with Tensorflow — Simple neural networkTo begin with a machine learning with Tensorflow, we can start from very basic and optimize our neural network step by step.Aug 9, 2021Aug 9, 2021

RyanNeural network activation FunctionActivation function outputs specific values when sum of inputs exceeds threshold. Step function, Sigmoid function, Tanh function, ReLu and…Jul 29, 2021Jul 29, 2021

RyanBuild logic gate with perceptron algorithmPerceptron mimics neuron, inputs data from other neurons and outputs to other neurons. Using perceptron algorithm we can build logic gate.Jul 29, 2021Jul 29, 2021

RyanTensorflow with Metal on a M1 MacFrom Tensorflow 2.5, the tensorflow-metal PluggableDevice to accelerate training with Metal on Mac GPUs is avaliable. Here we’ll install…Jul 28, 2021Jul 28, 2021

RyanConda on M1 Mac with MiniforgeWith Apple’s new M1 architecture based on ARM64, Anaconda does not support M1 natively yet. So to utilize full performance of M1, we’re to…Jul 28, 20211Jul 28, 20211