I want to vent a bit about the current landscape of Deep Learning frameworks / libraries / middlewares. Why do all of them have different file formats? Its like having web browsers that expect different types of responses from web servers. Hua? Neural Networks are pretty simple. Its a graph with weights. Basically an ordered set of linear algerbra operations. Now, with dropout and resampling we see amazing non-linear results but the core of what the network is / does isn’t that complicated.
Backup, backup, backup. Then verify your backups. Its what separates the noobs from the seasoned professionals. Seriously. My Time Capsulehas served me well with two MacBooks in my household. Backups just happen automatically, and on the one occasion where I had to do a restore…it worked flawlessly. Even the desktop icons were in the same spot! [tangent: this isn’t very impressive from a programming point-of-view but the desktop is the first thing users see, so well done Apple.
I love bash. It has served me well and is an essential component of av as we discussed in a previous post. A couple of years ago, I got very annoyed in the lack of case-insensitive tab completion. Lets take this simple example: So bash here isn’t going to complete to ‘Picture’ because its case-sensitive. So, enter zsh. It offers case-insensitive tab completion and with oh-my-zsh a host of other awesomeness.
I’m sure five times a day, you download some code in some form of compressed file format. Could be a .zip, or a .tar.bz2 or a .tar.gz, maybe its even a .7z. For me, its almost everyday and the mental logic goes like this: 1) Downloaded some file off the Internet 2) ‘ls -al’ 3) Looks like a zip, so I’ll use ‘unzip’ And then if it happens to be a .
So Docker for Mac is out of Beta. If you haven’t switched, I suggest you do. But getting rid of your boot2docker, docker-machine, brew installed docker client, etc… it’s a bit tricky. Most of this info came from therealmarv.com’s post. Here is a condensed set of steps to remove almost everything: # Remove applications sudo rm -rf /Applications/boot2docker sudo rm -rf /Applications/Docker # Uninstall brew stuff brew uninstall docker boot2docker # Make sure to get rid of executables sudo rm -f /usr/local/bin/docker sudo rm -f /usr/local/bin/boot2docker sudo rm -f /usr/local/bin/docker-machine sudo rm -r /usr/local/bin/docker-machine-driver* sudo rm -f /usr/local/bin/docker-compose # Remove boot2docker VBox image sudo rm -rf /usr/local/share/boot2docker # Remove docker packages sudo pkgutil --forget io.
My pfSense router upgrade did not go so well… Diagnostics My pfSense router stopped working. No Internet, no DHCP, no nothing. A simple reboot failed to resolve the problem. And no, I did not try restarting three times. A USB-to-RS232 adapter is worth its weight in gold. Has been that way for years. If you don’t already have one with a null modem cable, I suggest you get one in a hurry.
What is a NVIDIA Jetson TX1 Development Kit? In short is a quad-core ARM and a 256-core Maxwell GPU packed into a single chip with pretty much all the accessories you need in a breakout board. Here is an unboxing video. I have had the NVIDIA Jetson TK1 Development Kit for a while now and the TX1 it is quite a bit more powerful, though 3x the cost. Getting Torch Setup First step is to get the TX1 flashed with the latest Linux 4 Tegra (L4T) along with the full CUDA toolchain.
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