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Deep Learning With Python Course
Get ready to unlock the real power of deep learning using Python. This training is specially made for people working with Business Intelligence. You'll learn how to train and test deep learning models, understanding how to measure if they are working well using things like MAE and RMSE. You'll also improve your skills in making models work even better using methods like cross-validation and hyperparameter tuning. You'll explore your data deeply and prepare it properly before using it in your models. You'll build strong models using TensorFlow and PyTorch, and you'll learn how to write good reports to explain what you've found. This training will help you become a real expert in Business Intelligence.
- Learn how to check if your model is good: Understand MAE, RMSE, and how to split your data properly.
- Make your models work their best: Learn about cross-validation and hyperparameter tuning.
- Build deep learning models: Use TensorFlow and PyTorch like a professional.
- Explore your data well: Find strange things in your data and understand how it's organized.
- Write good reports: Explain your findings clearly and share what you've learned easily.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get ready to unlock the real power of deep learning using Python. This training is specially made for people working with Business Intelligence. You'll learn how to train and test deep learning models, understanding how to measure if they are working well using things like MAE and RMSE. You'll also improve your skills in making models work even better using methods like cross-validation and hyperparameter tuning. You'll explore your data deeply and prepare it properly before using it in your models. You'll build strong models using TensorFlow and PyTorch, and you'll learn how to write good reports to explain what you've found. This training will help you become a real expert in Business Intelligence.
Elevify advantages
Develop skills
- Learn how to check if your model is good: Understand MAE, RMSE, and how to split your data properly.
- Make your models work their best: Learn about cross-validation and hyperparameter tuning.
- Build deep learning models: Use TensorFlow and PyTorch like a professional.
- Explore your data well: Find strange things in your data and understand how it's organized.
- Write good reports: Explain your findings clearly and share what you've learned easily.
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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