Swift Playgrounds
CodeMonkey
GitHub Codespaces
StackHive
CloudShell
CodeTasty
CodeAbbey
Dirigible
PyTorch
TensorFlow
Keras
Scikit-learn
NumPy
CUDA Toolkit
OpenCV
Pandas
Swift Playgrounds PyTorchThe lowest available rating score is 1, but if there were a zero, I would rate this program a zero. There are no pros to this programming course. The lessons are so brief that I cannot understand them. Before I gave up for good on this programming course, I was writing tons of messages to people on Youtube asking them to explain things to me, and I hated the constant hassle of having to write online messages asking for explanations for the simplest of things that the lessons did not explain. This programming course is NOT a do-it-yourself training course by any means --- and it should not be used by schoolteachers as student homework assignments, as I recently advised a 13-year-old who was having trouble with the lessons and nothing was being helpful to him. This training course should be accompanied not by brief and intelligible on-screen lessons, but it should be accompanied by a detailed high school-style textbook complete with images. By the way, I have Asperger's syndrome, I have all kinds of problems with learning and with executing tasks, and I cannot participate in gainful employment in ANY profession for this reason.
Based on our record, PyTorch seems to be a lot more popular than Swift Playgrounds. While we know about 132 links to PyTorch, we've tracked only 2 mentions of Swift Playgrounds. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> I’m using AI to assist me and I’m building an app Vibe coding is a myth, it will take you only so far and will require manual fixes and refactoring before MVP. Learn the basics of and keep learning, say, Swift. https://developer.apple.com/swift-playground/ > Should I actually use a completely blank iPhone for this instead? Does not make any difference. Every app runs in its own separate environment. Only iOS... - Source: Hacker News / 4 days ago
💡 Want to see real-world examples? Check out Apple's Swift Playground: Swift Playground. - Source: dev.to / about 2 months ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / 6 days ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 27 days ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 3 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 3 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
CodeMonkey - Learn to code. Eat Bananas. Save the World.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
StackHive - Design, develop or publish websites right from your browser
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
