A convolutional neural network exercise on mnist dataset of handwritten numbers.
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Updated
Oct 7, 2018 - Jupyter Notebook
A convolutional neural network exercise on mnist dataset of handwritten numbers.
setup development environment for tensorflow under Ubuntu18.04 with Nvidia's 1050GPU
About deep learning and time series data in seismology
Build tensorflow 1.12 source code with CUDA 10.1 in Ubuntu
five projects in the Udacity's course--self-driving car engineer nanodegree term 1
A small GAN which creates datasets from CIFAR subsets.
This is a demo project which uses tensorflow object detection api to detect undesired objects in sensitive places with existing CC TV/ ip camera.
Recurrent Units-based Molecular Modeling
Models vs Accuracy contrast for Cifar-10 image dataset using Convolution Neural networks - SEM V Mini Project
Docker Compose in combination with a neural network
Setup & Test GPU for DNN within Win10
Tensorflow basic tutorial
In deep learning, with the help of data and training, neural networks are created and trained, which create better predictions than before with the help of neural networks.
This repository is a step-by-step guide for using NVIDIA GPU's on Windows (WSL2) and Linux (Ubuntu) and MacOs GPU's with TensorFlow.
latest windows built whl for tensorflow installation
VGG_VISUALIZATION
Some modification for testing Tensorflow on GPU, using with Phoronix-Test-Suite.
tensorflow-gpu docker with Python 3.7.5
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