TensorFlow

Hi, I wanted to jump into Machine Learning.

I first tried brain.js, but its capabilities are very limited and it abstracts most concepts of ML away. I've tried TensorFlow, but it's very hard for me to understand the concepts.

Now, I thought about trying NumPy or scikit-learn, but I don't really know much about ML, but still want to use 100% Power of ML.

What do you recommend me to use as a beginner in ML?

Also do you know any good tutorials which explain how ML works and how to implement it in a given framework (ideal in german)?

Thanks for your attention & help :D

I am unhappy. When doing my research, I heard Python is useless. Data science is an unworthy field thanks to TensorFlow, and web scraping has also become pointless since the introduction of the PWA. Since PWAs are only frontend, I feel forced to learn JavaScript, and to ditch Python. I love Python with all my mind, it's simplicity, conciseness, and easiness as a tool. Here are a few questions:

1. Should I forget Python and move on?
2. Are there any PWA alternatives to JavaScript/TypeScript. I've been thinking of using Python for WASM and use HTML+CSS for the DOM to create the PWA. Is this possible?
3. Why is JavaScript such a pain in the butt
4. What's the point of me learning Python if it's not useful for web development?

I am trying to get started with using TensorFlow. I have a few projects that mainly focus on image classifiers in mind but I have a question on a project that I'm trying to possibly do. The problem that I am hoping to solve is to find the orientation of an object. I was wondering if I have an object such as a cylinder and the problem is to find the orientation to insert into a machine via an arm. I am working with others who are more familiar with python but I don't know if TensorFlow would have the capabilities for my project. I think it would be able to identify the object but a solution I ponder is if it would be possible to run one image classifier to find and box the cylinder and another to find the orientation since the input would be the boxed image, and then to find a rudimentary orientation based off of many pictures with them at various angles. Or if this level is too complicated to run accurately with reasonable speeds. Possibly there is a much simpler solution or is a very hard problem. Though I thought I would ask to see if there is something else that would better suit my needs before taking the time to learn TensorFlow and try to make it only to be told it won't work.

Can I use both TensorFlow and Tesseract OCR to create a model that detects text out of a document pdf

Need your kind suggestion if I should choose TensorFlow.js or TensorFlow with Python for ML models. As I don't want to go and have not gone too deep in JavaScript, I need your suggestion.

I am working on a data collection project which requires processing images of playing cards for a deck-building game called StarRealms (https://www.starrealms.com/). I need to be able to read in a database of images or videos and recognize each card as a game is played. I believe this would involve some computer vision for image recognition and TensorFlow modeling to ensure an accurate prediction. Which technology stack would be the best for this job? Thank you for the help!