Neural Networks Course
Unlock the power of neural networks with our detailed course, designed especially for tech professionals in The Gambia. You'll learn how to check how good your models are, deal with problems like overfitting, and understand important measures like accuracy. We'll help you solve problems when you're building these networks, make them work better, and teach you how to get your data ready. You'll get practical experience with PyTorch and TensorFlow, and learn how to design good network structures. You'll also learn how to write reports about what you find, making sure everything is clear and easy to understand. Improve your skills and help bring new ideas to the Gambian tech scene.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of neural networks with our detailed course, designed especially for tech professionals in The Gambia. You'll learn how to check how good your models are, deal with problems like overfitting, and understand important measures like accuracy. We'll help you solve problems when you're building these networks, make them work better, and teach you how to get your data ready. You'll get practical experience with PyTorch and TensorFlow, and learn how to design good network structures. You'll also learn how to write reports about what you find, making sure everything is clear and easy to understand. Improve your skills and help bring new ideas to the Gambian tech scene.
Elevify advantages
Develop skills
- Master model evaluation: Learn to check how well your models are working using accuracy, precision, recall, and F1 score.
- Tackle implementation challenges: Find and fix problems when building neural networks and make them run smoothly.
- Excel in data preparation: Learn how to prepare your data properly, choosing the right features and cleaning it up well.
- Harness programming libraries: Use PyTorch and TensorFlow to train your models.
- Design neural architectures: Choose the best structures for your networks and use the right activation functions.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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