Deep Learning with Keras and Tensorflow
Completed by Dagim Degenie Legesse
October 10, 2024
23 hours (approximately)
Dagim Degenie Legesse'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: Transfer Learning
- Category: Generative Model Architectures
- Category: Reinforcement Learning
- Category: Unsupervised Learning
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Generative AI
- Category: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Deep Learning
