As someone who has taken both versions I’d say it’s mainly a question of whether you’re more interested in Keras/tensorflow or in Pytorch.
The new version includes a lot of very powerful techniques that have been developed over the past year but they aren’t essential to learning deep learning and either course will provide the fundamentals.
My personal recommendation would be to look at both as they provide the same content in slightly different ways. I found that in order to really understand what was going on (and Jeremy recommends this as well) that it’s helpful to watch the videos multiple times, and one way to do this would be to look at both courses.
Either way there’s a lot of overlap in the material and you aren’t missing out on much by doing V1, especially if you follow up by taking a look at V2 and learning pytorch as you do.
I’m partly done with part 1 v1 and seriously considering building my own deep learning box as suggested in part 2(costs around INR 1,70,000 including GTX 1080 Ti 11GB ). I’ve been through some material that suggests waiting sometime before investing in hardware (http://timdettmers.com/2017/12/21/deep-learning-hardware-limbo/ ). would like your opinion on the same… even if the market changes to accommodate Nervana/AMD, is nvidia/CUDA likely to remain the standard for near future, say 12-18 months? or should one wait for better, affordable alternatives?
Hi Jeremy, I am almost certainly more of a beginner than most to this topic. I am working on creating a server from home as I have a GeForce GTX 970 GPU.
I have installed Ubuntu to dual-boot with windows but I am struggling with the paperspace setup script. When I run the
"curl http://files.fast.ai/setup/paperspace | bash" command, it returns with
"rm: cannot remove ‘/etc/apt/apt.conf.d/.’: no such file or directory.
When I just run the script by pasting each line one by one, when I get to,
"sudo rm /etc/apt/apt.conf.d/."
the terminal just closes. Any idea of what could be going on or how to fix it? Thanks.