Neural Networks Course
What will I learn?
Unlock the potential of neural networks with our comprehensive course tailored for tech professionals. Dive into model evaluation, tackle overfitting, and master accuracy metrics. Overcome implementation challenges, optimise performance, and explore data preparation techniques. Gain hands-on experience with PyTorch and TensorFlow, and design effective architectures. Learn to document and report your findings, ensuring clarity and precision. Elevate your skills and drive innovation in the tech industry today, charna.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master model evaluation: Analyse accuracy, precision, recall, and F1 score.
Tackle implementation challenges: Debug and optimise neural networks effectively.
Excel in data preparation: Engineer features and preprocess datasets efficiently.
Harness programming libraries: Utilise PyTorch and TensorFlow for model training.
Design neural architectures: Choose optimal structures and apply activation functions.
Suggested summary
Workload: between 4 and 360 hours
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
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.