Deep Learning with Keras and Tensorflow
Completed by Torben Giesselmann
February 5, 2024
23 hours (approximately)
Torben Giesselmann'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: Model Optimization
- Category: Unsupervised Learning
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Convolutional Neural Networks
- Category: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Tensorflow
