Neural Networks Course
Unlock the power of neural networks with our detailed course, designed for Eritrean tech professionals. Learn how to properly assess your models, understand and fix overfitting, and become skilled in using accuracy measurements. Find solutions to common implementation problems, improve how well your models perform, and study different data preparation methods. Get practical experience with PyTorch and TensorFlow, and create useful network designs. Learn to carefully document and report your results, making sure they are clear and accurate. Boost your skills and drive innovation in Eritrea's tech sector today.

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 for Eritrean tech professionals. Learn how to properly assess your models, understand and fix overfitting, and become skilled in using accuracy measurements. Find solutions to common implementation problems, improve how well your models perform, and study different data preparation methods. Get practical experience with PyTorch and TensorFlow, and create useful network designs. Learn to carefully document and report your results, making sure they are clear and accurate. Boost your skills and drive innovation in Eritrea's tech sector today.
Elevify advantages
Develop skills
- Become an expert in model assessment: Understand and use accuracy, precision, recall, and F1 score metrics.
- Solve implementation problems: Find and fix bugs, and improve the performance of neural networks efficiently.
- Excel in data preparation: Create effective features and prepare datasets well.
- Use programming libraries effectively: Train models using PyTorch and TensorFlow.
- Design effective neural architectures: Select the best structures and use activation functions correctly.
Suggested summary
Before starting, you can change the chapters and the 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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