Deep & Machine Learning

Course overview

Upon completion of the training, you will have knowledge of deep and machine learning methods. You will also be able to train and evaluate models using neural networks. Fundamentals of Machine Learning and Deep Learning Neural Networks with Activation Functions and Softmax Gradient Descent Methods and Backpropagation Hyperparameter Tuning and Model Evaluation with Accuracy and Confusion Matrix Data Preparation including One-Hot Encoding and Standardization

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-10-11T22:00:00.000Z · Bremen · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-10-11T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-10-11T22:00:00.000Z · Hamburg · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-10-11T22:00:00.000Z · Dortmund · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-10-11T22:00:00.000Z · Mönchengladbach · Combined Learning