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7/23/2020
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Deep Learning: Convolutional Neural Networks in Python is the name of a training course from Udemy that teaches how to use deep learning for computer vision with the help of torsional neural networks. Twisted neural networks are a type of deep neural networks that are used in performing visual or speech analysis in machine learning. During this course you will learn how to combine computer vision, data science, and machine learning, and how to use Theano and TensorFlow libraries.
In this course, we are going to take a look at the SVHN dataset, which uses large color images at different angles. This is quite complex, both computationally and categorically, but we show you how torsional neural networks, or CNN, can handle these challenges. We also talk about the biology and how the torsional neural network is affected by animal vision, and show practical solutions to deep learning problems.
Familiarity with torsional neural network
Apply torsional neural network to sound effects
Execute blur and edge search in codes
Implement a sound effect in code
Use of torsional neural network in image categorization
English language
Duration: 7 hours and 25 minutes
Number of courses: 53
Level of education: Intermediate
Instructor: Lazy Programmer Inc
File format: mp4
53 lectures 07:25:22
Outline and Review 6 lectures 20:04
Convolution 8 lectures 52:14
Convolutional Neural Network Description 7 lectures 52:44
Convolutional Neural Network in Theano 3 lectures 25:20
Convolutional Neural Network in TensorFlow 2 lectures 14:17
Practical Tips 2 lectures 14:16
Project: Facial Expression Recognition 7 lectures 01:10:24
Basics Review 4 lectures 34:14
Appendix / FAQ 14 lectures 02:41:49
Install Python, Numpy, Scipy, Matplotlib, Scikit Learn, and Theano or TensorFlow
Learn about backpropagation from Deep Learning in Python part 1
Learn about Theano and TensorFlow implementations of Neural Networks from Deep Learning part 2
After Extract, watch with your favorite Player.
Subtitle: Some English and more Portuguese
Quality: 720p
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