Tutorials Alternatives

tutorials reviews and mentions

• Ask HN: Is there a tutorial avaible for Deep Learning based Upscaling
  1 project | news.ycombinator.com | 10 Mar 2024

  There are plenty of tutorials for Deep Learning available, https://pytorch.org/tutorials/. Does anyone know of a tutorial or example of Image Upscaling in a similar vain to Nvidia's DLSS?

• Best Portfolio Projects for Data Science
  3 projects | dev.to | 19 Sep 2023

  Pytorch Documentation

• unique game idea ( literally )
  1 project | /r/GameDevelopment | 4 Sep 2023

  PyTorch: https://pytorch.org/tutorials/

• How to learn PyTorch?
  1 project | /r/learnmachinelearning | 14 Jun 2023

  There's a TON of tutorials in the pytorch tutorials section, they're pretty solid. If you know what area you're specifically interested in, check to see if you can find some relevant tutorials to start with.

• What are some good pytorch courses online?
  1 project | /r/learnpython | 16 May 2023
• How do I get started with ML?
  2 projects | /r/ChatGPT | 17 Mar 2023

  Learn Python: Python is the most popular language for ML and AI projects. Start by learning the basics of Python, then move on to more advanced topics. Some great resources for learning Python include: Codecademy's Python course: https://www.codecademy.com/learn/learn-python Real Python: https://realpython.com/ Mathematics: A solid understanding of mathematics, particularly linear algebra, calculus, probability, and statistics, is essential for ML. Here are some resources to help you learn: Khan Academy courses: Linear Algebra: https://www.khanacademy.org/math/linear-algebra Calculus: https://www.khanacademy.org/math/calculus-1 Probability and Statistics: https://www.khanacademy.org/math/statistics-probability 3Blue1Brown's YouTube series on Linear Algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Data processing and manipulation: Familiarize yourself with popular Python libraries for data manipulation and analysis, such as NumPy, pandas, and matplotlib: NumPy: https://numpy.org/doc/stable/user/quickstart.html pandas: https://pandas.pydata.org/pandas-docs/stable/getting_started/intro_tutorials/index.html matplotlib: https://matplotlib.org/stable/tutorials/index.html Machine learning concepts: Learn about the basic concepts of ML, including supervised learning, unsupervised learning, and reinforcement learning. Some great resources include: Coursera's Machine Learning course by Andrew Ng: https://www.coursera.org/learn/machine-learning Google's Machine Learning Crash Course: https://developers.google.com/machine-learning/crash-course Fast.ai's Practical Deep Learning for Coders course: https://course.fast.ai/ Deep learning libraries: Get familiar with popular deep learning libraries such as TensorFlow and PyTorch: TensorFlow: https://www.tensorflow.org/tutorials PyTorch: https://pytorch.org/tutorials/ Specialize and work on projects: Choose an area of interest (such as natural language processing, computer vision, or reinforcement learning), and start working on projects to apply your skills. You can find datasets and project ideas from sources like: Kaggle: https://www.kaggle.com/ Papers With Code: https://paperswithcode.com/ Stay up-to-date and join the community: Follow ML blogs, podcasts, and conferences to stay current with the latest developments. Join ML communities and forums like r/MachineLearning on Reddit, AI Stack Exchange, or specialized Discord and Slack groups.

• How do I activate the TPU when using pytorch (code inside)?
  1 project | /r/kaggle | 12 Dec 2022

  The code looks almost identical to this: https://github.com/pytorch/tutorials/blob/master/beginner_source/chatbot_tutorial.py

• How to Implement Feed Forward NN in PyTorch for Classification
  1 project | /r/datascience | 24 Nov 2022

  Well the pytorch documentation is pretty good. (https://pytorch.org/tutorials/)

• PyTorch Tutorial for People with Keras/Tensorflow experience?
  1 project | /r/learnmachinelearning | 28 Oct 2022

  Pytorch tutorials https://pytorch.org/tutorials/ on their official website has all the basic commands and should be easier to pickup since you already know tensorflow/ keras.

• PyTorch introduces ‘nvFuser’: a Deep Learning Compiler for NVIDIA GPUs that automatically just-in-time compiles fast and flexible kernels to reliably accelerate users’ networks
  1 project | /r/artificial | 29 Aug 2022

  Continue reading |Github link | Reference article

• A note from our sponsor - InfluxDB
  www.influxdata.com | 7 Jun 2024

  Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →