Udacity Deep Learning Nanodegree Language Translation Project Submission | 100 Days of Code 10
Key Takeaways
This video covers submitting a language translation project for the Udacity Deep Learning Nanodegree
Full Transcript
okay so I think my camera lens may be officially broken but that's right we'll continue this v log on the iPhone just spend a few days here sorry a few hours in the library learning Python and it's getting difficult I'm not gonna lie I'm learning object orientated Python and also been researching in two different ways I can learn data science online I'm not really interested in going back to some sort of brick-and-mortar university at this stage but I do know I want to move into some sort of programming artificial intelligence data science machine learning that sort of field in the future whether it be creating my own startup or creating working for another startup or working for a company or something like that so I'm looking at online resources to pull together and make my own data science master's degree and if I do find it I will let you know and I'll let you know my curriculum I'm put my puts in some way to the end of this year at least to study all this stuff so I'm definitely going to be involved in them over the next few months hopefully I can get my camera working so I can continue be logging this otherwise it just might be an iPhone temporarily until I get a better lens until I fix the lens what I've just done about three four hours study applies and by the end of that my Mac died I don't pretty much harder to the library so it's sort of it it makes me focus like it makes me focus for a certain amount of time rather than sort of I know that I'm only there for a limited time so I use that time as I can rather than sort of fluff around the internet for bits and pieces here and there I do six Pomodoro so six 25-minute blocks and get up and go for a walk in between halfway three or so but now I'm going to go home get some breakfast it's 2:30 7 p.m. I haven't eaten today so far I had some coffee in the morning with coconut oil but being at go get something to eat and then have a nap and then yeah figure out what I'm gonna do for this afternoon probably a workout or something like that or catch in the next clip so the camera is still broken you can see this little dink yeah the lanes are still not opening so I can't film properly on the good camera but I still like the iPhone welcome back to day 41 of the day I always said the Denton Berkshire I'm so used to saying that it's day 41 of 180 code the dungeon burg show as a podcast that I run so I'll link that in the description so you can check it out if you want but I've just finished my second quiz of the day on machine learning more specifically principal component analysis and a past I got 5 out of 5 I'm really stoked for that so what's principal component analysis well I've got a whole bunch of notes here but essentially in a nutshell what I gather it as is a way to compress your data to make it more computationally efficient and make your learning algorithms a lot faster and it also helps to visualize data so rather than having say a hundred different dimensions of features you can compress it down to two or three and then that's what human beings can actually understand when you're trying to visualize data so an example this is a two dimensional plot one two rather than having hundred of these dimensions I can't even imagine what that would look like because human beings we have problems under even imagining these things right we can I don't know about you but I can only imagine two and three dimensional things even four dimensions to me is it's difficult to comprehend but awesome stuff it's getting a bit complicated with the math and whatnot but that's alright I'm having fun having fun learning what are my plans for us today I think I've got a project that I need to do for this week eight I'm not entirely sure yet because I think the last three weeks or last two weeks don't have projects for the machine learning course that I'm doing but nonetheless really excited I'm still working out in my head how I'm going to do the open source data science master's is going to put together my my own sort of master's degree rather than go to university my arms getting saw all these muscles I can't even hold up anything but for us today I'm going to go over some tasks that I need to complete do some writing and upload some videos and go for a workout later this evening so if I talk to you I'll see you then in the next in a couple minutes a couple of seconds for you it might be a couple of hours to me otherwise we'll catch you tomorrow is day 43 what's going on y'all day 42 I've had two days of code series I did a bit of coding in tensorflow this morning doing some encoding and whatnot what that what did I do what are they actually called let me find if we really find the right thing for my brain is has been flooded with information recently I've been learning about linear algebra vectors and spaces on Khan Academy and I cannot recommend Khan Academy enough it's such an amazing resource so deep learning are auto-encoders that's what's kind of knew it had something to do with encoding so essentially these are used for image compression or tract compression with like mp3 or JPEG well they're not actually as good as JPEG or mp3 but they are good at taking away the noise from images so you had a number an image of a letter or a number and it had a lot of noise on you can use autoencoders to remove the noise from that image and what it does is it takes in a file without any labels and then it sort of deep compresses that file and then outputs a brand new file based off the original data it took in so it's not taking in any label dollars it's a part of unsupervised learning and I don't know enough about it yet to give you a proper explanation but that's what I understand you have an input it gets compressed and then it becomes an output and the outputs are based off the inputs that's what I know so far and I'm still shooting on the iPhone because I will be for at least the next week or so probably because I haven't been a source and new lens for my camera yet and it's still broken but I've ran seven records in 1080p apparently so not as good as a the sony a6000 but that's alright we'll get it done but that's that's it for me for learning today I'm going to go into a workout clear my head and then come back home and decide what sorts up tomorrow I think I'm working on my startup tomorrow or I may have some sort of freelance job that I'm working on but anyway we'll see you then sup y'all day 43 every time I should check it before I start recording so today getting Amazon web servers up and running for my website then building at school njm.com where use any gym calm hopefully you're going to come to your area one day and list all the fitness facilities in your area and they will enable you to access them and speaking really fast you have my dogs even before yes she's named seven we're doctor they're after our neighbors abandon it but I love it went for a walk with them today and otherwise yeah just spend most of my time getting getting an Amazon web server up running on the micro tear the free instance also using s3 which is an Amazon storage like cloud storage to store the media files and CloudFront which is another Amazon server to load the images so essentially no matter where you come from also where you visit the site from it all the stuff will load fast there's no content on there at the moment but I'm just getting the back-end sorted so I don't have to worry about that in the future and then yeah start start expanding the front-end make it usable make it look beautiful and hopefully offer some value to people but that's all I've been up to today I'm about to record a podcast not entirely sure what I'm just yet but you got to find it on my youtube channel or my podcast channel I'll link both in the description and yeah I think this might be the last clip for this V log so I think it's the end of V log 9 and yeah we'll catch you next week next week I'm still working on Udacity deep learning core what's up y'all day 44 of the hundred days of code series as you just saw I just finished my most recent machine learning assignment I think it's week eight assignment seven still still learning MATLAB it's all new and that sort of stuff I much prefer - even though I'm still not that great of Python but it's just my language of choice at the time being and to be honest I'm just not a fan of than that lab interface and plus it's a paid license so it's not open source so if you wanted to start using MATLAB now you'd have to pay for it unless you have an education license which is what I have for 12 weeks I get it for free through the course arrow machine learning course but I think that's the majority of the code I'm going to do for today I want to do some planning on my my own data science master's degree that I'm going to create so if I make any progress on that I'll let you know of course because over the next six months I want to do some sort of data science master's degree moving towards the field of AI and machine learning but otherwise I might do some Python review I haven't done a review in a while so that'll be later this afternoon but we'll catch in the next clip what's going on your day 47 and 100 days of code series sorry I haven't filmed I have until the last two days I spent Sunday well it is Tuesday today I spent Monday doing some writing no sorry some day doing some writing I've been dedicating a lot more time to writing lately and the last two days well yesterday I was just really deep in doing this Udacity project for which is building your own language translator from English to French but only in a very small amount of words if you wanted to do the whole vocabulary you would need a lot of compute power which I don't have at the moment but good news it is for 25 p.m. and I just submitted my project so hopefully it goes all good I would have spent about at least unknown six to eight hours worth of work on it today I started work at about maybe 10 a.m. probably bit earlier and then the same again yesterday it takes me a lot longer to do these projects than the average person because I'm still learning I'm still in such a basic state of all this I've got a lot to learn I've got a very uphill battle over the next six months oh well longer than that is a continual learning process but I'm excited that's going to be at me it for today in terms of code I just built a language translator as you can see I'll show you what the output was where is it we transfer translated this sentence here he saw an old yellow truck to French there we go not 100% correct but that's alright better than zero it knows more French than I do right now so that's really cool tomorrow I'm going to be learning Python on treehouse so we'll catch you
Original Description
My camera fell off a table and the lens was damaged (my fault) and now it doesn't open anymore. Rather than stop the VLOG series, I'm going to continue temporarily using my iPhone until I get a new lens.
Links mentioned in the show:
My Quora Profile - https://www.quora.com/profile/Daniel-Bourke-2
All Podcasts - https://www.mrdbourke.com/podcasts
Podcast Mentioned in Video - https://www.youtube.com/watch?v=-RUU7gaqn6s
My Startup (AnyGym) - https://useanygym.com/
Medium 100 Days of Code Series - https://medium.com/series/my-100-days-of-code-bf23b507fc77
Coursera Machine Learning Course - https://www.coursera.org/learn/machine-learning
Python textbook - https://learnpythonthehardway.org/book/
Open Source Data Science Masters - http://datasciencemasters.org/
Khan Academy - https://www.khanacademy.org/
Say Hi to me anywhere!
Web: https://www.mrdbourke.com
Writing: https://www.mrdbourke.com/blog/
Instagram: https://www.instagram.com/mrdbourke/
Facebook: https://www.facebook.com/mrdbourke
Twitter: https://www.twitter.com/mrdbourke
Email: daniel@mrdbourke.com
#udacity #100daysofcode
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