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I've recently been tackling an online artificial intelligence (AI) learning curriculum I designed myself. I've had the privilege of completing some the leading AI courses available. Here are my takes on them so far, what I would do differently and what I plan on doing next.Read More
I cried in the bathroom for 10-minutes.Read More
No one is born with a passion.
I was scared shitless in my final year of high school. If I didn’t get good grades on my exams, I was done.
My teachers would tell me, the results here determine your future.
IF YOU DON’T DO WELL, YOU’LL GET A BAD JOB
This is somewhat true but it’s empty. It’s thrown around as a scare tactic. If kids get good results, the teachers look good, the school looks good, you get it.
Day in day out, a peppering of questions.
What do you want to do with your life?
Who do you want to be when you leave school?
What’s your calling in life?
What’s your passion?
Lady, I know you mean well, but how the hell am I supposed to know? I’m 17.
This thing about a passion kept coming up. Follow your passion this, follow your passion that. Follow your passion and you’ll never be lead astray.
So where was this passion everyone was speaking of?
WHERE WAS MY PASSION?
I’d wait and wait. Expecting this passion of mine to rock up. It seemed like a really big deal. Surely it would show its beautiful face here soon.
How come everyone else seemed to have theirs but I didn’t?
This really haunted me. It was tough going through my final year. I had no idea what I wanted to do but supposedly I should’ve.
My soul was being slow-roasted, believing I’d done something wrong.
Graduation came and went. Still no passion.
I fluffed around at university for a couple of years. Seeing girls at school was fun. I thought that could be my passion. Getting girls.
Where the hell was this thing?
I’d read articles from successful people.
Follow your passion. Everything else will fall in place.
I’m following my passion so it doesn't feel like work anymore.
I used to play with toy cars as a kid and never looked back, now I’m a race car driver.
These guys had it set. I wanted to reach out to them. What were their secrets?
I graduated university. No passion.
I thought I’d had a little taste of it here and there but I didn’t feel it.
I was expecting an Earth-shattering moment. Butterflies in my stomach. The feeling you get when you see your crush walking across the park times a million. Nope.
I’d given up. This thing I was searching for, this passion, I wasn’t cut out for it. It was my job to ride the passionless cheese grater of life.
I’d been lifting weights for five or six years. I was never creative in high school but my body had become my canvas. I’d started to look pretty good by my own standards.
Could this be my passion?
Did I finally take the podium in a lifelong game of hide and seek?
Not so fast.
I remembered the articles I’d read.
You’ll know when you find it.
You just know.
What was this knowing supposed to feel like? You can’t just say, you’ll know.
All the 22-year-old millionaires and megastars must’ve had it from birth. They knew the secret. Life must’ve given them an orchid of lemon trees and a lemonade manufacturing plant.
I began to hate the world. Positive on the outside, cynic on the inside. I’d been hard done by.
It wasn’t coming. My passion was never going to hit me in the face. My crush wasn’t going to walk across the park a million times.
I worked out the secret.
Get really good at something.
So good it sucks. It sucks because it’s hard to get better. But you love it.
You’ll start to embrace the suck. It’ll bring you a euphoria like no other.
After you learn to embrace the suck, you’ll find it.
But it won’t hit you in the face.
You’re not born with a passion. No one is. You have to grow into it.
You have to continually work at becoming better and better at something.
Once you develop a skill to a point where you are better than others but more importantly, better than your previous self. This is where your passion will begin to grow.
If you’re in high school, it’s unlikely you will be very good at anything.
School raises you as a droid. Be similar enough to everyone else, that way you’ll be easier to control.
If you can break out of the droid mentality. If you can allow yourself to work hard at something, over and over and over again. You will find your so-called passion.
Now reflect back on my original statement.
No one is born with a passion.
A newborn doesn’t know he’s going to be the next Elon Musk. A six-year-old girl doesn’t know she’s going to grow up and be Oprah.
These ordinary people got really good at something.
We are all ordinary until we decide not to be.
Some get lucky and get really good at something earlier in life. Others take 60-years to realise it. Many have died without it.
If you’re in high school and waiting for your passion to hit you in the face, I know how you feel. I’m still waiting too. It’s not coming.
There will be no sign. No billboard on the side of the road.
Don’t do I what I did and become bitter. Looking at others thinking they had it set. Save yourself the time and effort.
Play around with different things.
Try whatever sparks your interest even a little. Then dig deeper on something and get better at it. Triple down on it.
Don’t let any of your seniors be gatekeepers of your potential. Much of their advice will be their own unfulfilled dreams being passed onto you.
You will never win playing a character that isn’t you.
Be patient. Getting really good at something will take time. And it will suck.
Embrace the suck.
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Who do you live for?
You may live for someone else, your spouse, your children. But ultimately life is single player.
We create memories with others but they’re locked in the black boxes of our mind.
We imagine what it would be like to walk in someone else’s shoes. Though no one really has the same size feet as us.
We’ll never get the chance to look through the eyes of someone else, not yet anyway.
Conversations, reading, watching videos, admiring paintings, all of these give us an insight in the life of someone else. It’s not nearly enough to understand how the mechanics of their mind work. What thoughts arise from moment to moment.
Even writing this, a post dedicated to writing about the workings of the individual mind, mine has wandered. There’s a cup on my table, my dogs are walking around the kitchen and a bird is singing outside. The breeze is cool but I feel warm.
We’re brought into the world alone. We will all leave the world alone. All of our memories gone. It’s eerie and liberating.
We spend time with others. Share countless joy. Together but seperate.
The actions I’ve done for others, have been for myself. I write for others to read but I enjoy writing. The feeling of people reading my words and gaining value brings me value.
I donate blood and I feel good. I’ve helped someone else who will likely never help me but they have. They’ve allowed me to feel good.
Every action I’ve taken, even those seemingly for others has been out of interest for my own gain. I want to work on great things. I want to feel important so I make others feel important. I need to be loved. I give love to get love.
I, I, I, me, me, me. That’s what my life is ultimately about. If I help people in the process, it’s because I’ve wanted to.
This post is narcissistic. All of them are.
If I’m not going to live for myself, who will do it for me?
I’m not going to live for you. No one is going to live for you.
Enjoy your time while you can. It’ll be game over soon. Be selfish.
- Spend 80% of your time on entertainment and 20% on learning. Your life should be nothing but pure bliss, keep yourself occupied with cheap thrills and instant gratification. School taught you enough anyway. Reading is for grandpas.
- If it comes in a shiny wrapper or colourful packaging, eat it. Making your own food is time-consuming and hard. Why bother when you can order your weekly requirement of sugar, salt and saturated fat in one meal?
- Stop moving. Sore muscles suck and if you get sweaty you’ll have to take more than one shower today. It’s much easier to turn on the air conditioner and watch Netflix.
Sometimes it’s easier to think about what not to do.
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Is a wealth of data the final frontier?
This article is part of the How I’m Learning Deep Learning Series on Medium:
Part I: A new beginning.
Part II: Learning Python on the fly.
Part III: Too much breadth, not enough depth.
Part IV: AI(ntuition) versus AI(ntelligence). (You’re currently reading this)
Extra: My Self-Created AI Master’s Degree
A lot has happened since Part III. While the last couple of articles went in-depth into what exactly I was learning, this one will be a little different. Rather than break it down week by week, I’ll cover the major milestones.
I graduated from the Udacity Deep Learning Nanodegree (DLND) in August last year. Thinking about how I emailed the support team asking what the refund policy was before starting the course makes me laugh. It was easily one of the best learning programs I’ve ever taken. If you’re after more details, I recently published an in-depth review video on the DLND.
Making videos about my journey has led to some great conversations with others on the same path. I met someone in Canada who was doing almost the exact same courses as me. Even more interesting is that we have the same poster of Arnold in our room. Small world.
More recently, I had the opportunity to have a conversation with Shaik Asad, a 14-year-old AI developer from India. He teaches himself AI after completing his homework. Since then we’ve been actively chatting about life and our other interests. Seeing how passionate Shaik is about AI and hearing what his goals are, inspired is an understatement.
AI Master’s Degree
After graduating from the DLND, I was a deer in the headlights. I’d learned all about the amazing power of deep learning (DL) but still didn’t fully understand what really made deep neural nets tick. I was also left wondering whether DL is the be all and end all of Artificial Intelligence (more on this later).
I needed to know more. Curiosity led me to create my own AI Master’s Degree. Having a rough outline of a curriculum to follow allowed me to narrow down how I would spend my time. My mission is to use AI to help people move more and eat better. I have skin in the game in the world of fitness and nutrition, I’m working on the AI side.
In the past few months, I’ve completed 80% of the Coursera Deep Learning specialisation (course 5 was just released as of writing) by Andrew Ng and the team at deeplearning.ai as well as Term 1 of the Udacity Artificial Intelligence Nanodegree (AIND).
For those who learn from a ground-up approach, the deeplearning.ai specialisation is the best place to start learning about DL. If you’re more into diving into project building, or want to progress with one of Udacity’s advanced Nanodegrees, start with the DLND.
Term 1 of the AIND covered classical AI approaches. It lost me at times due to my lack of programming ability and my recent focus on DL. However, learning about how far the field has come since inception was fascinating.
I’m into Term 2 now, which includes building projects in computer vision, natural language processing and speech recognition using DL. Back in a familiar fishbowl.
I’ll release a full in-depth review of the deeplearning.ai and AIND once I’ve completed them both.
Future of AI
After learning more about how DL works, I started to become suspicious of what its longevity prospects are. Many DL models need a ridiculous amount of data to produce a useful output.
This is well and good if you’re one of the two companies in the world with enough data to keep Titanic afloat but not so good if you’re a young AI hopeful. Deep Learning has brought about many incredible insights but many of which are in the realm of supervised learning, which still takes a lot of human input.
Although our ability to gather and produce data is increasing exponentially, I’m not convinced more data is the key to solving all of our AI problems.
Are we really just data-processing machines? Last century, people thought our internal processes could be modelled using the concept of steam engines. The man with a hammer problem comes to mind.
Back-propagation (an algorithm to help neural networks improve themselves) does not work very well on unlabelled data, which is what most of the universe is comprised of.
Consider a four-year-old walking into a room they’ve never been in. The young child doesn’t require 10,000 labelled images of a room to know how to navigate it. They don’t even require one labelled image of a room, they simply start interacting with it.
Even the godfather of Deep Learning seems to be thinking along the same lines. In an interview late last year, Geoffrey Hinton was asked his opinion on the current state of AI techniques.
“My view is throw it all away and start again.”
“The future depends on some graduate student who is deeply suspicious of everything I have said.”
Listening to the lectures and talks of Monica Anderson (especially the one on dual-process theory) and discovering her work on Artificial Intuition as an approach to Artificial Intelligence raises more questions on the matter.
I will delve deeper into these topics in a future post.
Over the next few months, I will be completing the curriculum I have set out for myself.
I just submitted the first major project of Term 2 of the AIND, a computer vision model to detect facial keypoints.
For each of the upcoming major projects, I will be posting an article detailing my understanding of the work as well as a step-by-step guide for those looking to build an equivalent.
After completing the AIND, fast.ai seems likely to be my next port of call.
By the time I finish up my curriculum, I will be looking to move to the US to join a startup in the world of health and AI (or create my own). If you know anyone or think I should be following anyone currently playing at the crossroads of health and AI, please let me know.
For those considering embarking on their own self-led learning journey or finding out more about AI, the words of Naval Ravikant sum it up perfectly.
The current education system is a path depended outcome. We have the internet now, if you actually have a desire to learn, everything is on the internet. The ability, means and tools to learn are abundant and infinite, it’s the desire to learn that’s incredibly scarce.
See you in Part V.