• views: 162
• date: 31 January 2026
• posted by: 0nelove

Level: Intermediate | Genre: eLearning | Language: English
Deepen your understanding of neural networks and convolutional neural networks (CNNs) with this comprehensive course. Instructor Jonathan Fernandes shows how to build and train models in Keras and PyTorch using datasets like MNIST and CIFAR‑10 for image classification. Apply activation functions, backpropagation, pooling techniques, and optimizers to strengthen model performance. Gain practical experience with essential datasets and pretrained models that support modern computer vision, including techniques such as image augmentation and transfer learning.
Designed for machine learning engineers with a solid grasp of Python and introductory AI concepts, this course balances theory with hands‑on implementation. Tune in and explore why different architectures work well for particular challenges and develop the skills needed to design, implement, and evaluate neural networks across a range of applications.



   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.