Deep Learning with Keras and Tensorflow
Completed by PRATHAMESH MITTAL
May 21, 2026
23 hours (approximately)
PRATHAMESH MITTAL'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: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Convolutional Neural Networks
- Category: Autoencoders
- Category: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Time Series Analysis and Forecasting
