The first item under the Lesson Resources heading mentions the unedited videos for Section 1 and Section 2 
What Python version are you running?
Hi @ange, I used the ami from last year’s course, view the getting set up video from last year’s course for details: http://course.fast.ai/lessons/aws.html
Interesting…
thanks 
anyone get this error when running through this line in the notebook?
from fastai.imports import *
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-4-178e52808742> in <module>()
----> 1 from fastai.imports import *
~/fastai/courses/dl1/fastai/imports.py in <module>()
1 from IPython.lib.deepreload import reload as dreload
----> 2 import PIL, os, numpy as np, math, collections, cv2, threading, json, bcolz, random, scipy
3 import random, pandas as pd, pickle, sys, itertools, string, sys, re, datetime
4 import seaborn as sns, matplotlib
5 from abc import abstractmethod
ModuleNotFoundError: No module named 'cv2'
When I try to do pip3 install cv2, I get the error:
Collecting cv2
Could not find a version that satisfies the requirement cv2 (from versions: )
No matching distribution found for cv2
I’m running this within Anaconda 5.0.1, python 3.6
For people who are interested in using Google cloud service - they are providing free cloud service to people having valid credit cards. Also there is a post which I have compiled Lesson 1 using Google Cloud . Feel free to add suggestions in the reply box.
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Yeah, you have to install the opencv and other dependent libraries manually, Check this link.
https://anaconda.org/menpo/opencv3. I had the same problem, If will ask you to install another 4 to 6 lib like this, just search in conda cloud for the python3.6 v and install it in your machine.
Make sure you note down all your cmd’s used to install and post it in the forum for further reference. I mistakenly closed the cmd list after the joy of successful run 
If you experience some dead lock after successful lib installation follow this link, because I am having this issue for now
Where are results stored after running the course1 notebook in crestle environment? I like to see the output. (predicted labels for images under ‘test’ directory).
So I’m running into this:
--------------------------------------------------------------------------- AssertionError Traceback (most recent call last) <ipython-input-12-d4fe8b8bb391> in <module>() 3 # Setting requires_grad=False indicates that we do not need to compute gradients 4 # with respect to these Variables. ----> 5 x = Variable(x.type(dtype), requires_grad=False) 6 y = Variable(y.type(dtype), requires_grad=False) /home/ubuntu/anaconda3/lib/python3.5/site-packages/torch/_utils.py in _type(self, new_type, async) 33 if new_type.is_sparse: 34 raise RuntimeError("Cannot cast dense tensor to sparse tensor") ---> 35 return new_type(self.size()).copy_(self, async) 36 37 /home/ubuntu/anaconda3/lib/python3.5/site-packages/torch/cuda/__init__.py in _lazy_new(cls, *args, **kwargs) 264 @staticmethod 265 def _lazy_new(cls, *args, **kwargs): --> 266 _lazy_init() 267 # We need this method only for lazy init, so we can remove it 268 del _CudaBase.__new__ /home/ubuntu/anaconda3/lib/python3.5/site-packages/torch/cuda/__init__.py in _lazy_init() 82 raise RuntimeError( 83 "Cannot re-initialize CUDA in forked subprocess. " + msg) ---> 84 _check_driver() 85 torch._C._cuda_init() 86 torch._C._cuda_sparse_init() /home/ubuntu/anaconda3/lib/python3.5/site-packages/torch/cuda/__init__.py in _check_driver() 56 Found no NVIDIA driver on your system. Please check that you 57 have an NVIDIA GPU and installed a driver from ---> 58 http://www.nvidia.com/Download/index.aspx""") 59 else: 60 # TODO: directly link to the alternative bin that needs install AssertionError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx
I’m running on a p2 instance on AWS, so very much have a GPU! a bit stumped on what to do
For how many lessons will Crestle be an acceptable environment?
If not optimum for all lessons, then will another AWS AMI be setup?
I am asking since the current AWS AMI requires a lot of setup adjustment as you are already aware. I do believe that this activity is a great learning step. But I also need to spend effort on lesson1 to start the deep learning mindfulness. The Crestle environment serves this purpose right now for me.
Thank you,
Ben
Python 3.63
It worked for a while and after installing labextension I got this error
Crestle will be fine for the whole course. I’m setting up an AMI right now, which will not require any extra setup to use.
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thanks
Nope.
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