IshanDandekar
IshanDandekar t1_jee9uy6 wrote
Reply to comment by adharanda11 in Best way to practice or Learn about practical stuff about deeplearning? by adharanda11
You wouldn't want to go into designing machine learning systems and life cycle right now. Just build projects. Don't get stuck into a cycle of MOOCs
IshanDandekar t1_jedzcud wrote
Reply to comment by IshanDandekar in Best way to practice or Learn about practical stuff about deeplearning? by adharanda11
Look into tutorials or projects published on YouTube maybe, even that is a great source. The main idea to copy someone's project in beginner stage, is to get inspired by them and then later do what you want and build upon it. Right now you have the theoretical knowledge, but programming will also come into the picture when you are on a data science job
IshanDandekar t1_jedz4db wrote
Projects. Only way to test what you have learned is projects. In Andrew Ng's deep learning course, he has assignments pertaining to a topic/application of deep learning. Easiest way to expand this is to make a whole project out of it. Best way to show your skills.
As you said, yes there are resources to get weights for models, look into model zoos. Hope this helps!
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.
IshanDandekar t1_izvpp8c wrote
Reply to Getting started with Deep Learning by MightyDuck35
I say, start with the FastAi course, it's great. Start somewhere, there isn't a defined roadmap for deep learning. Everybody has a different journey of learning these things. Also, start exploring the domains of deep learning problems, like computer vision and natural language processing. Find out what interests you the most and learn more about it.
IshanDandekar t1_iycnrjg wrote
Reply to If the dataset is too big to fit into your RAM, but you still wish to train, how do you do it? by somebodyenjoy
How big is your RAM? Maybe you can try cloud resources to get a better machine, leverage GPUs too if it is an image dataset
IshanDandekar t1_ixlugz1 wrote
Reply to Keras metrics and losses by Sadness24_7
Hi, if you really want to use RMSE as a metric, here's the link RMSE
IshanDandekar t1_ixba9ql wrote
Also, see keras examples. They have great tutorials on how to solve various deep learning problems, which can give you a basic understanding on how you can approach projects.
IshanDandekar t1_iwvbkly wrote
Reply to Medicinal Dataset Review. by FairMathematician595
Holy smokes, thanks for the post. Will make sure to check it out!
IshanDandekar t1_jeecfu0 wrote
Reply to comment by adharanda11 in Best way to practice or Learn about practical stuff about deeplearning? by adharanda11
Tensorflow is used to make neural networks. Start with simpler machine learning algorithms. Look into the Scikit-learn library. Scikit-learn is used for simpler and more commonly used machine learning algorithms. Look into kaggle tutorials for better understanding. Hope this helps!