LearningUdemy

AdeepunderstandingofDeepLearning&NeuralNetworkswithPython

A rigorous scientific and mathematical approach to mastering neural networks, moving from basic perceptrons to advanced architectures. Covers gradient descent, backpropagation, and specialized networks like CNNs and RNNs using an experimental learning style.

PyTorch
Google Colab
Matplotlib
NumPy
SciPy
A deep understanding of Deep Learning & Neural Networks with Python

Learning in Progress

Currently mastering the advanced concepts of this course.

Instructor

Mike X Cohen

Duration

57.5 hours

Platform

Udemy

Course Curriculum