Neural Networks with TensorFlow 2: From the Bottom Up

on YouTube ↗01h 00m

" summary

Covers building neural networks in TensorFlow 2 starting with the improved low-level API to understand networks from scratch (no math required), then showing the equivalent using the high-level Keras API. Explains that matrix multiplications are the basis of neural nets, what loss functions are, and how to go from a loss function to a trained neural network.

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" chapters (9)

1. 0:00Introduction
2. 3:14First steps
3. 7:12Linear regression
4. 16:24Linear to neural nets
5. 27:14Gradient descent & backprop
6. 36:46TensorFlow 2 High-Level API
7. 44:32Logistic regression example
8. 53:42Activation functions & classification
9. 59:17Summary

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