Deep Learning with Keras and Tensorflow
Completed by Folly Romuald FOLLY-DOGBA
August 27, 2024
23 hours (approximately)
Folly Romuald FOLLY-DOGBA'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: Unsupervised Learning
- Category: Generative AI
- Category: Generative Model Architectures
- Category: Model Training
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Autoencoders
- Category: Convolutional Neural Networks
- Category: Generative Adversarial Networks (GANs)
- Category: Model Optimization
- Category: Artificial Intelligence and Machine Learning (AI/ML)
