Deep Learning with Keras and Tensorflow
Completed by Simone Cirone
September 2, 2024
23 hours (approximately)
Simone Cirone'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: Generative AI
- Category: Convolutional Neural Networks
- Category: Autoencoders
- Category: Transfer Learning
- Category: Model Training
- Category: Generative Adversarial Networks (GANs)
- Category: Reinforcement Learning
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Tensorflow
- Category: Model Optimization
- Category: Keras (Neural Network Library)
