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@XingLiangLondon
XingLiangLondon / Object Detection.md
Last active November 24, 2022 15:42
Object Detection

Object Detection

Why do we need object detection?

  • Labelling Scenes
  • Robot Navigation
  • Self-Driving Cars
  • Body Recognition (Microsoft Kinect)
  • Disease and Cancer Detection
  • Facial Recognition
@zhanwenchen
zhanwenchen / Install NVIDIA Driver and CUDA.md
Last active March 13, 2024 23:42 — forked from wangruohui/Install NVIDIA Driver and CUDA.md
Install NVIDIA CUDA 9.0 on Ubuntu 16.04.4 LTS
@mrry
mrry / tensorflow_self_check.py
Last active August 24, 2023 17:13
[DEPRECATED] TensorFlow on Windows self-check
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
@jkpl
jkpl / writing_tech_articles.md
Last active April 16, 2024 10:45
Writing tech articles

Writing tech articles

This is a description of how I write tech articles for various blogs. Hopefully someone else will find this useful as well.

Create a Gist for the article

When I begin writing a new article, I create a new [GitHub Gist][gist] for the article files. The Gist contains a file for the article text and code examples related to the article.

@vinhkhuc
vinhkhuc / simple_mlp_tensorflow.py
Last active December 22, 2021 11:52
Simple Feedforward Neural Network using TensorFlow
# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
# Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0
# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1'
# where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's.
# Similarly, for h * W_2 + b_2
import tensorflow as tf
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split