Dennis Faucher (https://twitter.com/DennisFaucher) gave an absolute gem of a presentation. He is encouraging everyone to get started in ML in this session, where he discusses basic concepts and then gets into how we can all get started.

He gave us all the links and was even nice enough to organize them through slide: Here is a link to my PPT if anyone in the audience wants a copy. Here are also all the URLs in my deck that can be added to the YT description. Deck: https://www.dropbox.com/s/vxih5casvo04rrl/vBB%20Laser%20Guided%20Cat%20Bot%202022-03-30.pptx?dl=0 Cat Bot Blog Post: Laser-Guided Autonomous Cat Bot | IT in Context (faucher.net) http://blog.faucher.net/2020/01/laser-guided-autonomous-cat-bot.html Slide 2: https://jetbot.org/master/getting_started.html https://github.com/dusty-nv/jetson-inference https://colab.research.google.com/#scrollTo=P-H6Lw1vyNNd https://www.kaggle.com/paoloripamonti/twitter-sentiment-analysis Darknet: Open Source Neural Networks in C (pjreddie.com) https://pjreddie.com/darknet/ Slide 5: https://github.com/NVIDIA-AI-IOT/jetbot/blob/master/notebooks/collision_avoidance/live_demo.ipynb Third Person High Res CatBot - YouTube https://www.youtube.com/watch?v=aO1Ur3doiE4&t=7s Slide 6: NVIDIA: https://github.com/dusty-nv/jetson-inference Google Colab: Tensorflow for Beginners: https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/quickstart/beginner.ipynb Darknet: Darknet: Open Source Neural Networks in C (pjreddie.com) https://pjreddie.com/darknet/ Kaggle: https://www.kaggle.com/paoloripamonti/twitter-sentiment-analysis Slide 7: https://towardsdatascience.com/clearing-the-confusion-ai-vs-machine-learning-vs-deep-learning-differences-fce69b21d5eb Slide 8: TensorFlow Tutorial for Beginners: Your Gateway to Building Machine Learning Models (simplilearn.com) TensorFlow Hidden Layer: Hidden Layer Definition | DeepAI How does a Neural Network learn? https://www.kdnuggets.com/2015/12/how-do-neural-networks-learn.html Slide 9: https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/quickstart/beginner.ipynb Slide 10: Image Retraining (TF2) https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/c