Neural Networks Course
What will I learn?
Unlocking the power of neural networks: This course is designed for technology professionals like you. We'll delve into how to evaluate models, handle overfitting issues, and become proficient in using accuracy metrics. You'll learn to overcome problems when building models, improve performance, and explore how to prepare your data correctly. Get practical experience with PyTorch and TensorFlow and learn to design effective structures. Finally, you'll learn how to document and report your findings clearly and accurately. Improve your skills and help drive innovation in the tech industry today.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Become an expert in model evaluation: Learn to analyse accuracy, precision, recall, and F1 score.
Tackle implementation challenges: Learn how to debug and improve neural networks effectively.
Excel in data preparation: Master feature engineering and efficiently preprocess datasets.
Harness programming libraries: Use PyTorch and TensorFlow for model training.
Design neural architectures: Choose the best structures and use activation functions effectively.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.