Description
[ DevCourseWeb.com ] Deep Learning: Neural Networks In Python Using Case Studies
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Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 6h 18m
Learn how a neural network is built from basic building blocks using Python
What you'll learn
Learn how a neural network is built from basic building blocks (the neuron)
Learn how Deep Learning works
Code a neural network from scratch in Python and numpy
Describe different types of neural networks and the different types of problems they are used for
Requirements
Basic math (calculus derivatives, matrix arithmetic, probability)
Install Numpy and Python
Don't worry about installing TensorFlow, we will do that in the lectures.
Being familiar with the content of my logistic regression course (cross-entropy cost, gradient descent, neurons, XOR, donut) will give you the proper context for this course
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