This course will train you Deep studying specializing in Convolution Neural Networks architectures – Free Course
What you’ll study
- Convolutional neural community architectures
- Laptop imaginative and prescient algorithims
- implement a Deep Neural Community from scratch
- How back-propagation algorithm works
- search comparable photos
- construct multi activity fashions
- No Deep Studying expertise wanted. You’ll study every thing it’s good to know
This course will train you Deep studying specializing in Convolution Neural Internet architectures. It’s structured that will help you genuinely study Deep Studying by ranging from the fundamentals till superior ideas. We’ll start studying what it’s underneath the hood of Deep studying frameworks like Tensorflow and Pytorch, then transfer to superior Deep studying Structure with Pytorch.
Throughout our journey, we may even have initiatives exploring some essential ideas of Deep studying and pc imaginative and prescient, resembling: what’s a picture; what are convolutions; find out how to implement a vanilla neural community; how back-propagation works; find out how to use switch studying and extra.
All examples are written in Python and Jupyter notebooks with tons of feedback that will help you to observe the implementation. Even in the event you dont know Python nicely, it is possible for you to to observe the code and study from the examples.
The superior a part of this challenge would require GPU however dont fear as a result of these examples are able to run on Google Colab with only one click on, no setup required, and it’s free! You’ll solely have to have a Google account.
By following this course till the tip, you’ll get insights, and you’ll really feel empowered to leverage all latest improvements within the Deep Studying subject to enhance the expertise of your initiatives.