You can install Keras for GPU support with a Mac M1/M2 using CONDA. It is very important that you install an ARM version of Python. In this video I walk you through all the steps necessary to prepare an Apple Metal Mac for my deep learning course in Keras. 0:19 Install Miniconda 2:00 Install XCode Tools 2:27 Install Jupyter 2:42 Exit Base Environment 3:00 Run YAML, Install Tensorflow 4:00 Activate TensorFlow 4:15 Install Kernel to Jupyter 4:35 Test Tensorflow/Keras Links from the video: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/tensorflow-install-mac-metal-jan-2023.ipynb https://github.com/jeffheaton/t81_558_deep_learning/blob/master/tensorflow-apple-metal.yml Wget Downloads: wget https://raw.githubusercontent.com/jeffheaton/t81_558_deep_learning/master/install/tensorflow-install-mac-metal-jan-2023.ipynb wget https://raw.githubusercontent.com/jeffheaton/t81_558_deep_learning/master/tensorflow-apple-metal.yml ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook - coming soon 😸🐙 GitHub - https://github.com/jeffheaton/t81_558_deep_learning/tree/pytorch ▶️ Play List -    • 2023 PyTorch Version Applications of ...   🏫 WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: null ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Python #Tensorflow #Keras #macm1 #m1 #gpu