Welcome to the first tutorial in this TensorFlow 2.0 Beginner Course! In this video we install TensorFlow (with GPU or CPU) and setup a deep learning environment with Anaconda and PyCharm.
Google Colab:
https://colab.research.google.com/notebooks/intro.ipynb
Installation of Anaconda and PyCharm:
https://www.anaconda.com/products/individual
https://www.jetbrains.com/pycharm/download/
Check GPU Compute Capability (TF needs 3.5 or higher):
https://developer.nvidia.com/cuda-gpus
Download NVIDIA Drivers:
https://www.nvidia.com/Download/index.aspx
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Paid Courses I recommend for learning (affiliate links, no extra cost for you):
⭐ Machine Learning Specialization https://bit.ly/3hjTBBt
⭐ Deep Learning Specialization https://bit.ly/3YcUkoI
⭐ TensorFlow Specialization https://bit.ly/3FmEVK1
📘 MLOps Specialization http://bit.ly/3wibaWy
📘 GAN Specialization https://bit.ly/3FmnZDl
📘 NLP Specialization http://bit.ly/3GXoQuP
✨ Free Resources that are great:
NLP: https://web.stanford.edu/class/cs224n/
CV: http://cs231n.stanford.edu/
Deployment: https://fullstackdeeplearning.com/
FastAI: https://www.fast.ai/
💻 My Deep Learning Setup and Recording Setup:
https://www.amazon.com/shop/aladdinpersson
GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection
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