This course offers a deep dive into an advanced neural network construction - Convolutional Neural Networks. First, we explain the concept of image kernels, and how it relates to CNNs. Then, you will get familiar with the CNN itself, its building blocks, and what makes this kind of network necessary for Computer Vision. You'll apply the theoretical bit to the MNIST example using TensorFlow, and understand how to track and visualize useful metrics using TensorBoard in a dedicated practical section. Later in the course, you'll be introduced to a handful of techniques to improve the performance of neural networks, and a huge real-world practical project for classifying fashion items pictures. Finally, we will cap it all off with an intriguing look through the history of the most influential CNN architectures.
Looking for a convolutional neural networks course? Try the Convolutional Neural Networks in Python Course for free. Start now!
Teikametrics Flywheel will allow you to harness state of the art automation and data science to drive:
Intelligent, hourly bid automation.
Keyword action suggestions you can apply to your account in-app.
Insight into your best performing keywords on Amazon PPC.
Reporting on your business metrics & historical performance.
Guidance into how to best structure your campaigns.
Teikametrics Free Trial Link
You can re-activate your Teikametrics Flywheel account here on a 30-day free trial.
Teikametrics Flywheel will allow you to harness state of the art automation and data science to drive:
Intelligent, hourly bid automation.
Keyword action suggestions you can apply to your account in-app.
Insight into your best performing keywords on Amazon PPC.
Reporting on your business metrics & historical performance.
Guidance into how to best structure your campaigns.
You can re-activate your Teikametrics Flywheel account here on a 30 day free trial