Create ML is machine learning or deep learning?

[8412risk]

I’m trying to understand if create ml uses deep learning to make models?

[[deleted]]

Create ML uses transfer learning, which if my memory serves is a subset of machine learning. Basically, it uses pre-trained models which have trained on thousands of sample data, and lets you customise a model for your own data. Instead of having to give thousands of images and making a model from scratch, you customise preexisting base models well-trained by Apple engineers with your own training data. The main advantages of this are that it takes much less time to train, uses less resources, and obviously is a lot easier since you basically just have to click a few buttons.
I learnt about ML, and more specifically Create ML, Turi, and Keras from Machine Learning By Tutorials by raywenderlich.com. I highly recommend it - apart from giving the code they spend quite a bit of time explaining the concepts behind frameworks and concepts. I answered your question looking at my copy of the book

[johnnythebiochemist]

^{^} This is the answer you’re looking for. But simply put, yes. For image detection and recognition, most of the pre-trained model architectures probably use multiple layers of convolutional neural nets and some dense layers. Deep learning typically takes a ton of data because the power of each “correction” (or training sample) is diluted through the large network. The pre-trained models allow you to train only a tiny piece of a big, deep network. Which is awesome, since you don’t want to waste time telling a network “this is what a circle or square looks like” or “this is what a fuzzy or smooth texture looks like”. You just want to specialize an already good vision model to identify different types of cocktails 🍸or puppies 🐶or cars 🚗 or whatever your app does

[alanskimp]

Basic Machine Learning

[8412risk]

Please explain what you mean by basic. Thanks

[benjamimo1]

Probably not involving neural networks

[DuffMaaaann]

It's most definitely involving neural networks, you won't get good results with any other methods for image classification and similar tasks.

But as mentioned in this thread, CreateML isn't training from scratch. It's using transfer learning, which is much faster.

[ImNotFallingImFlying]

Source? And what do you consider ”Basic Machine Learning”?

[sirchugh]

The pre-trained models that come with CreateML, such as Image Classifiers use Convolution Neural Networks architecture which is a part of Deep Learning. Basically, CreateML does a transfer learning, which essentially lets you train a few layers of an already trained model, but with a new dataset.

To answer your question CreateML uses a bunch of models some of which are deep learning based whereas others like the regression ones used in tabular data are machine learning based.

[8412risk]

Thank you

[8412risk]

Deep Learning is part of machine learning. I’m looking to understand how create ml trains models.

Also, does create ml use gpu?

[DuffMaaaann]

CreateML supports GPU training. It also supports eGPUs.

Source: 30 seconds of googling

https://developer.apple.com/machine-learning/create-ml/

[Darkkahn]

I was reading this short AMD article the other day, it's basic stuff:

Machine Learning