![COURSERA - Convolutional Neural Networks](https://i107.fastpic.ru/big/2019/0102/bd/eb6f1dbddfe9e1d6d999907fea2530bd.png)
Duration: 20h | Video: h264, 960x540 | Audio: AAC, 48kHz, 2 Ch | 1 GB
Genre: eLearning | Language: English | Level: Intermediate
This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images.
You will:
- Understand how to build a convolutional neural network, including recent variations such as residual networks.
- Know how to apply convolutional networks to visual detection and recognition tasks.
- Know to use neural style transfer to generate art.
- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.
This is the fourth course of the Deep Learning Specialization.
[i][/i]Screenshots
![COURSERA - Convolutional Neural Networks](https://i108.fastpic.ru/big/2019/0102/30/2418cfca2aa14fff48bc4290fa0d0430.jpg)
https://rapidgator.net/file/97a0ff5c072578b61a341c4ba1e1d8b8
https://rapidgator.net/file/d1935699201c76b1fe26932bfb3f3fe6
uploadgig_com:
https://uploadgig.com/file/download/8d64e55e63922f3f/Coursera-convolutional-neural-networks.part1.rar
https://uploadgig.com/file/download/6b33BC7e3a6101e1/Coursera-convolutional-neural-networks.part2.rar
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