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Convolutional Neural Networks in Python 2023-3 - Download

Description

Deep Learning: Convolutional Neural Networks in Python is the name of a training course on Udemy that teaches how to use deep learning for computer vision using torsional neural networks. Torsion neural networks are a type of deep neural network used in machine learning to perform visual or speech analysis. In 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 take a look at the SVHN dataset, which uses large color images from different angles. It is quite complex both in terms of computation and categorization, but we will show you how a convolution or CNN can handle these challenges. We also talk about biology and how the convolutional neural network affects the visual sector of animals and show practical solutions to deep learning problems.

Courses taught in this course:

  • Knowledge of convolutional neural networks
  • Apply a torsional neural network to sound effects
  • Run blur and look for edges in codes
  • Apply a sound effect in code
  • Using Torsional Neural Network in Image Categorization

Deep Learning: Convolutional Neural Networks in Python:

  • Publisher: Udemy
  • Instructor: Lazy Programmer Inc.
  • English
  • Duration: 13 hours and 21 minutes
  • Number of lessons: 75
  • Education level: average

Course topics 2024/1

Deep Learning: Convolutional Neural Networks in Python

Course prerequisites

  • Install Python, Numpy, Scipy, Matplotlib, Screen Learn and Theano or TensorFlow
  • Read Deep Learning Python Part 1 about backpropagation
  • Learn more about Theano and TensorFlow applications of neural networks in Deep Learning Part 2

Pictures

Deep Learning: Convolutional Neural Networks in Python

Sample movie

installation manual

After extracting, watch with your favorite player.

Subtitle: English

Quality: 1080p

Changes:

Version 2022/5 has increased the number of 20 lessons and the duration of 4 hours and 43 minutes compared to 2018/8. Also, the quality of the course has increased from 720p to 1080p.

Version 2023/3 has increased the number of 2 lessons and the duration by 1 hour and 13 minutes compared to 2022/5.

Download link

Download Part 1 - 1GB

Download Part 2 - 1GB

Download Part 3 - 1GB

Download Part 4 - 581 MB

File passwords: www.downloadly.ir

size

3.58 GB

free download software latest version