Deep Learning with Keras and Tensorflow
Completed by Rodrigo Manuel Mendes Amorim
April 16, 2021
23 hours (approximately)
Rodrigo Manuel Mendes Amorim'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: Generative Model Architectures
- Category: Transfer Learning
- Category: Model Training
- Category: Autoencoders
- Category: Model Optimization
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Reinforcement Learning
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Generative AI
