Good intro to neural nets book?

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SUMMARY

The discussion centers on recommendations for introductory resources on neural networks, particularly for individuals with a math or crypto background. The suggested resources include Geoffrey Hinton's neural networks course on Coursera and Andrew Ng's Machine Learning class, which provides a foundational overview of machine learning concepts. Both courses are highly regarded for their accessibility and educational value.

PREREQUISITES
  • Basic understanding of neural networks
  • Familiarity with machine learning concepts
  • Mathematical foundations relevant to algorithms
  • Experience with online learning platforms like Coursera
NEXT STEPS
  • Enroll in Geoffrey Hinton's neural networks course on Coursera
  • Complete Andrew Ng's Machine Learning course on Coursera
  • Research foundational mathematical concepts for neural networks
  • Explore additional resources on deep learning frameworks such as TensorFlow or PyTorch
USEFUL FOR

Individuals with a background in mathematics or cryptography, aspiring data scientists, and anyone interested in gaining a foundational understanding of neural networks and machine learning.

Dragonfall
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Any suggestions? I'm coming from a math/crypto background.
 
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Not sure about any books, but you might try Hinton's course on Coursera (https://www.coursera.org/course/neuralnets). Not slated to start again for a while, but maybe you can get the videos.

There's also an introduction to them in Coursera's ML class with Andrew Ng, which was an enjoyable and easy intro to Machine Learning in general.
 

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