I agree so much - just applying yourself is the key, this is something I was stuck with in machine learning/deep learning for years, just stuck watching people explaining research papers and trying to understand the theory. In the past month or 2, I have just started reading the papers myself and especially importantly, implementing and replicating the results in PyTorch, actually being able to visualise the architecture helps a lot.
Reading scientific papers and then trying to incorporate the knowledge in your project is a great approach. I did the same 5-6 years ago when I was developing a genetic algorithm for a simulation software, the result was far beyond anyone's expectations. Keep up the good work!
I love being in tutorial hell. I don't know why, but I've been doing tutorials and courses for more than 2 years now. For about a year, I've been stuck in project hell. I planned to complete 10 projects from beginner to advanced levels, but then I would learn something new and start all over again. I don't have a plan to work or to create anything for myself. I just love doing projects using different technologies, and I watch every video at 2x speed. 🙂
"Growing up" my favourite project was implementing Telnet server and writing simple MUD (multi-user dungeon). It get surprisingly complex, but there's (and has been for literal decades) plethora of source code of existing implementations to take inspiration from :D
me when trying to do some gamedev Like it's not even funny, I have been paid to come up with, design, code, test, deploy and maintain "serious commercial software" for nearly half of my life now. But trying to use any opinionated engine is more like trying to work with I dunno, Salesforce, not "developing software" xD
I agree so much - just applying yourself is the key, this is something I was stuck with in machine learning/deep learning for years, just stuck watching people explaining research papers and trying to understand the theory. In the past month or 2, I have just started reading the papers myself and especially importantly, implementing and replicating the results in PyTorch, actually being able to visualise the architecture helps a lot.
Reading scientific papers and then trying to incorporate the knowledge in your project is a great approach. I did the same 5-6 years ago when I was developing a genetic algorithm for a simulation software, the result was far beyond anyone's expectations. Keep up the good work!
I love being in tutorial hell. I don't know why, but I've been doing tutorials and courses for more than 2 years now. For about a year, I've been stuck in project hell. I planned to complete 10 projects from beginner to advanced levels, but then I would learn something new and start all over again. I don't have a plan to work or to create anything for myself. I just love doing projects using different technologies, and I watch every video at 2x speed. 🙂
I am currently studying computer science at the university, and man coding is not a joke man😂 its so hard😢
Just keep showing up every day, it’s the only way bro ❤️
"Growing up" my favourite project was implementing Telnet server and writing simple MUD (multi-user dungeon). It get surprisingly complex, but there's (and has been for literal decades) plethora of source code of existing implementations to take inspiration from :D
Great advice!
I appreciate it!
Nice vids.
me when trying to do some gamedev
Like it's not even funny, I have been paid to come up with, design, code, test, deploy and maintain "serious commercial software" for nearly half of my life now. But trying to use any opinionated engine is more like trying to work with I dunno, Salesforce, not "developing software" xD
Wow😂
The docs are more useful than tutorials after you're comfortable with the basics.
Wow😂