jhamrick

FROM jupyter/notebook

# Install nbgrader
RUN pip2 install nbgrader && pip3 install nbgrader

# Add any other dependencies you might want, e.g. numpy, scipy, etc.
#RUN pip2 install numpy scipy matplotlib
#RUN pip3 install numpy scipy matplotlib

# Configure grader user

arundasan91

Freshly brewed !

With the availability of huge amount of data for research and powerfull machines to run your code on, Machine Learning and Neural Networks is gaining their foot again and impacting us more than ever in our everyday lives. With huge players like Google opensourcing part of their Machine Learning systems like the TensorFlow software library for numerical computation, there are many options for someone interested in starting off with Machine Learning/Neural Nets to choose from. Caffe, a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and its contributors, comes to the play with a fresh cup of coffee.

Installation Instructions (Ubuntu 14 Trusty)

The following section is divided in to two parts. Caffe's documentation suggest

codspire

Getting Started With Superset: Airbnb’s data exploration platform

Update Python and PIP versions on EC2 (Amazon AMI)

At the time of writing, Python v3.5 and PIP v9.0.1 were available on AWS EC2.

sudo yum update -y
sudo yum install python35 -y

nbortolotti

import sys
import os
import cv2
import numpy as np
import tensorflow as tf

sys.path.append("..")

from object_detection.utils import label_map_util

mratsim