Deep Learning with Keras and Tensorflow
Completed by Ajay Anil Khadke
January 25, 2026
23 hours (approximately)
Ajay Anil Khadke'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: Convolutional Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Keras (Neural Network Library)
- Category: Generative Adversarial Networks (GANs)
- Category: Autoencoders
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Generative AI
