Deep Learning with Keras and Tensorflow
Completed by Daniyal Amir Awan
January 2, 2026
23 hours (approximately)
Daniyal Amir Awan's account is verified. Coursera certifies their successful completion of Deep Learning with Keras and Tensorflow
What you will learn
Create custom layers and models in Keras and integrate Keras with TensorFlow 2.x
Develop advanced convolutional neural networks (CNNs) using Keras
Develop Transformer models for sequential data and time series prediction
Explain key concepts of Unsupervised learning in Keras, Deep Q-networks (DQNs), and reinforcement learning
Skills you will gain
- Category: Time Series Analysis and Forecasting
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Unsupervised Learning
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Generative Adversarial Networks (GANs)
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Tensorflow
