Deep Learning - Artificial Neural Networks with TensorFlow
Completed by Kresimir Dolenec
February 3, 2026
7 hours (approximately)
Kresimir Dolenec's account is verified. Coursera certifies their successful completion of Deep Learning - Artificial Neural Networks with TensorFlow
What you will learn
Apply techniques to build and train artificial neural networks using TensorFlow.
Analyze the performance of ANN models in various real-world problems like image classification and regression.
Evaluate and compare advanced techniques for optimizing deep learning models.
Create and optimize ANN models using various optimization algorithms and loss functions.
Skills you will gain
- Category: Model Optimization
- Category: Recurrent Neural Networks (RNNs)
- Category: Model Training
- Category: Regression Analysis
- Category: Tensorflow
- Category: NumPy
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Image Analysis
- Category: Logistic Regression
- Category: Keras (Neural Network Library)
- Category: Supervised Learning
