Md. Riadul Islam rdnasim

ResNet-152 in Keras

This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385

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Rich Hickey on becoming a better developer

Rich Hickey • 3 years ago

Sorry, I have to disagree with the entire premise here.

A wide variety of experiences might lead to well-roundedness, but not to greatness, nor even goodness. By constantly switching from one thing to another you are always reaching above your comfort zone, yes, but doing so by resetting your skill and knowledge level to zero.

Mastery comes from a combination of at least several of the following:

	# This is a basic workflow to help you get started with Actions
	name: CD Internal-Lane

	# Controls when the action will run. Triggers the workflow on push or pull request
	# events but only for the master branch
	on:
	push:
	tags:
	- "internal-v..*" # on every version tag will build a new android artifact example: v3.1.2+6
	jobs:

	name: Flutter CI

	# This workflow is triggered on pushes to the repository.

	on:
	push:
	branches:
	- master

	# on: push # Default will running for every branch.

	#!/bin/bash
	# Instructions for installing necessary packages for running machine learning projects in Ubuntu machine

	# first update and upgrade your system
	sudo apt-get update
	sudo apt-get install build-essential cmake g++ gfortran git pkg-config python-dev python3-tk software-properties-common wget

	# install pip3 for working on python 3
	sudo apt-get install python3-pip
	pip3 install --upgrade pip

	#!/bin/bash
	# This gist is a step by step instructions to build and install OpenCV from source on ubuntu 18.04 LTS
	# note: The easy and quick way to install is
	# sudo pip3 install opencv-python
	# sudo pip3 install opencv-contrib-python
	# But this easy pypi installation can’t open video files on GNU/Linux distribution or on mac OS X system.
	# And on some system opencv binaries provided packages are not compiled.
	# Therefor we have no way rather than build it from source.