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Official Documentation: The Android Developers and Apple Developer websites are treasure troves for learning official APIs and best practices. Android Official Website | Apple Official Website. - Source: dev.to / 5 months ago
I'm running Sonoma 14.1.1, otherwise I'm just using the latest components available from developer.apple.com. Source: 7 months ago
Monetize your coding skills by creating and monetizing mobile apps or games. Join programs like Apple Developer Program, Google Play Console, and Amazon Appstore. - Source: dev.to / 7 months ago
1.2.1 Buy a 100$ apple developer certificate (idk if this works with 25$ certificates services)1.2.2 Sideload deezer using Sideloadly follow step 1.1.21.2.3 Login with your apple id on developer.apple.com1.2.4 Go to https://developer.apple.com/account/resources/identifiers/list (Only available if you already buy your own 100$ developer license)1.2.5 Find Deezer identifier click on the name "Deezer"1.2.6 The... Source: 11 months ago
Go to the Apple Developer website: https://developer.apple.com/ and sign in with your Apple ID. Source: 11 months ago
Not the parent, but NNs typically work better when you can't linearize your data. For classification, that means a space in which hyperplanes separate classes, and for regression a space in which a linear approximation is good. For example, take the circle dataset here: https://playground.tensorflow.org That doesn't look immediately linearly separable, but since it is 2D we have the insight that parameterizing by... - Source: Hacker News / 4 months ago
For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 6 months ago
Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 10 months ago
Thereās an interactive neural network you can train here, which can give some intuition on wider vs larger networks: https://mlu-explain.github.io/neural-networks/ See also here: http://playground.tensorflow.org/. - Source: Hacker News / 12 months ago
This site is worth playing around with to get a feel for neural networks, and somewhat about ML in general. There are lots of strategies for statistical learning, and neural nets are only one of them, but they essentially always boil down into figuring out how to build a āclassifierā, to try to classify data points into whatever category they best belong in. Source: almost 1 year ago
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
Neuronify - An educational neural network app.
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Netron - Open-source visualizer for neural network, deep learning and machine learning models.
Android Studio - Android development environment based on IntelliJ IDEA
Neural Designer - Neural Designer is a high performance data science and machine learning platform.