Deep Learning with Keras and Tensorflow
Completed by Sayyam Akram
July 25, 2025
23 hours (approximately)
Sayyam Akram'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: Generative Adversarial Networks (GANs)
- Category: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Generative Model Architectures
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Model Optimization
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Tensorflow
- Category: Unsupervised Learning
