Submitted by Ill-Sprinkles9588 t3_10odzhd in deeplearning
Comments
Ill-Sprinkles9588 OP t1_j6e2xht wrote
Wild_Dragonfruit1744 t1_j6e30c8 wrote
I am sure! But i have similar interest dm?
IshanDandekar t1_j6e4uxg wrote
Maybe start with machine learning first. Projects in machine learning will help. Then go through MOOCs. Then projects again. Then pick your field and then projects again.
itzNukeey t1_j6einlp wrote
Andrew Ng has some great lectures and courses on Coursera.
Moderatecat t1_j6elwxf wrote
Read academic papers to find challenges and then dive deep into it. Also deep learning is very broad, narrow it down a bit down the road
robertsdionne t1_j6ercye wrote
https://www.deeplearningbook.org/ "The online version of the book is now complete and will remain available online for free."
w_ayne_ t1_j6f1kcl wrote
Kaggle seems like a good start. I am exploring it for projects
Kuchenkiller t1_j6f3r1n wrote
This is actually the best answer here. Diving straight into DL will pretty quickly demotivate and make it seem like an impossibility shortly after switching from an online toy example to something real world. I can confirm, this is a great book that also includes the necessary basics. Since it was published it has a well deserved space on my office table.
gelvis101 t1_j6f4j8q wrote
Have a look at FastAI
mr_birrd t1_j6f5n7r wrote
Kaggle Titanic, we have all been there.
Conscious_Amount1339 t1_j6g2y72 wrote
junetwentyfirst2020 t1_j6g911v wrote
CS231n on YouTube. It’s a little bit older but it has just about everything i’d ask if I was giving you a job interview.
florisjuh t1_j6h1ffh wrote
Probably good to accompany it with a more practical book (or courses) though, such as Sebastian Raschka's Machine Learning with PyTorch and scikit-learn or Francois Chollet's Deep Learning with Python (Keras/Tensorflow). Also I found Dive into Deep Learning https://d2l.ai to be a pretty nice resource to learn about more SOTA deep learning models and techniques.
Wild_Dragonfruit1744 t1_j6e295d wrote
I guess you can do some project