giangnguyen2412

# Create definitions for CUB-200 (CUB200 category definition - CUB200 class definition)
# All .txt files can be found here: https://www.kaggle.com/datasets/veeralakrishna/200-bird-species-with-11788-images?resource=download&select=CUB_200_2011.tgz
import re
import numpy as np
import pickle

# Read the class ID for each image. We have 11788 images, each image has a class ID from 1->200
img2class_file = 'image_class_labels.txt'
input_f = open(img2class_file)
img2class_dict = {}

akTwelve

giangnguyen2412

Index: src/main/java/org/alicebot/ab/AIMLProcessor.java
===================================================================
--- src/main/java/org/alicebot/ab/AIMLProcessor.java	(revision 100)
+++ src/main/java/org/alicebot/ab/AIMLProcessor.java	(working copy)
@@ -18,6 +18,8 @@
         Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
         Boston, MA  02110-1301, USA.
 */
+import java.nio.ByteBuffer;
+import java.nio.charset.StandardCharsets;

L0SG

import torch
from torch import nn
from torch.autograd import Variable
import torch.nn.functional as F
import torch.optim as optim


# toy feed-forward net
class Net(nn.Module):
    def __init__(self):

CMCDragonkai

Matplotlib Backends

Matplotlib is a plotting library. It relies on some backend to actually render the plots. The default backend is the agg backend. This backend only renders PNGs. On Jupyter notebooks the matplotlib backends are special as they are rendered to the browser. Generally you will not need to explicitly set the backend on a Jupyter notebook. This does introduce a discrepancy between code that runs in Jupyter and code that runs as a script natively in the Python interpreter. So you need to understand that the 2 environments are not the same

zhanwenchen

Updated 4/11/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install CUDA
• Install cuDNN

Table of contents generated with markdown-toc

aaronpolhamus

n02119789 1 kit_fox
n02100735 2 English_setter
n02110185 3 Siberian_husky
n02096294 4 Australian_terrier
n02102040 5 English_springer
n02066245 6 grey_whale
n02509815 7 lesser_panda
n02124075 8 Egyptian_cat
n02417914 9 ibex
n02123394 10 Persian_cat

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname