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Episode Followup – Dennis Faucher Starting Machine Learning

D3ennis 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 slides:

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/colab/tf2_image_retraining.ipynb

Slide 11:
Darknet: Open Source Neural Networks in C (pjreddie.com) https://pjreddie.com/darknet/ ./darknet detect cfg/yolov3.cfg yolov3.weights times_square.jpg
Train a custom classifier Train a Classifier on CIFAR-10 (pjreddie.com) https://pjreddie.com/darknet/train-cifar/

Slide 12: CIFAR-10 and CIFAR-100 datasets (toronto.edu) https://www.cs.toronto.edu/~kriz/cifar.html
Slide 13: Chickens Recognized by Name (While Eating Spaghetti) – YouTube https://www.youtube.com/watch?v=jHzRhhJoYQY&t=65s
Slide 14: Cloud AutoML Custom Machine Learning Models | Google Cloud https://cloud.google.com/automl