Deep Learning with Keras and Tensorflow
Completed by Rafał Fila
September 1, 2024
23 hours (approximately)
Rafał Fila'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: Tensorflow
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Keras (Neural Network Library)
- Category: Reinforcement Learning
- Category: Transfer Learning
- Category: Model Optimization
- Category: Applied Machine Learning
- Category: Unsupervised Learning
- Category: Convolutional Neural Networks
- Category: Generative Adversarial Networks (GANs)
- Category: Generative AI
- Category: Time Series Analysis and Forecasting
