bogger

name: "GoogleNet"

input: "data"
input_dim: 10
input_dim: 3
input_dim: 224
input_dim: 224

# hierarchy 1
# conv -> relu -> pool -> lrn

mmitou

AWS LambdaのPythonから利用出来るOpenCV3.0のライブラリを作成する手順

AWS Lambdaの実行環境の確認

AWSのLambda 実行環境と利用できるライブラリで確認する。

2015年12月現在では、 AMI ID: アジアパシフィック（東京） リージョンの ami-cbf90ecb を使っている。

OpenCVのビルド環境を作る

Mistobaan

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

joseph-zhong

To build OpenCV3.0 for AWS Lambda Python

Summary

Because AWS Lambda runs in a Amazon Linux environment, to run external modules you must

Create the OpenCV build environment

sudo yum update -y

nadavrot

High-Performance Matrix Multiplication

This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).

Intro

Matrix multiplication is a mathematical operation that defines the product of

mendhak

terraform {
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 4.0"
    }
  }
}

provider "aws" {

johnhw

### JHW 2018
import numpy as np
import umap



# This code from the excellent module at:
# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module
    
import random