Neural Networks and TensorFlow - 1 - Artificial Neurons

Опубликовано: 18 Март 2025
на канале: Cristi Vlad

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________________________________________________________________________________________________ In this series we're going to look into concepts of deep learning and neural networks with TensorFlow.

The entire course (Neural Networks with TensorFlow): http://bit.ly/tensorflownets

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My Hands-On Machine Learning Course: http://bit.ly/3aw2Q9E

In this first tutorial we discuss artificial neurons and their resemblance to biological neurons. Artificial neurons have inputs, weights, logits, activation functions, and outputs - in their most basic form. We also discuss a simple example of how a neural network learns a labeled dataset (for supervised learning).

What is one big take-away message is that vectorization makes the entire learning process much more efficient than otherwise.

The code: https://github.com/CristiVlad25/nnt-p...

Books I recommend to learn Machine Learning and Deep Learning:

1. Muller & Guido - Machine Learning with Python: https://amzn.to/2Xc0bxS
2. Aurelien Geron - Hands-on Machine Learning: https://amzn.to/2Ri9yqk
3. Ian Goodfellow - Deep Learning: https://amzn.to/31LvHSW
4. Francois Chollet - Deep Learning with Python: https://amzn.to/2KSDvfp

Books I recommend for learning Python:

1. Eric Matthes - Python Crash Course: https://amzn.to/2KmMHtc
2. Al Sweigart - Automate the Boring Stuff with Python: https://amzn.to/2Xhq7YS
3. Zed Shaw - Learn Python 3 The Hard Way: https://amzn.to/2IlxMxg

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More recommended readings:

1. Nikhil Buduma - Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms - https://www.amazon.com/dp/1491925612

Images:

1. Adapted from BruceBlaus (Own work) [CC BY 3.0] via Wikimedia Commons - https://en.wikipedia.org/wiki/Neuron#...

2. By Chrislb (created by Chrislb) [GFDL or CC-BY-SA-3.0], via Wikimedia Commons via Wikimedia Commons - https://commons.wikimedia.org/wiki/Fi... This video is for educational purposes only.