Deep Learning with Keras and Tensorflow
Completed by Angelina Kirilova Kancheva
March 16, 2021
23 hours (approximately)
Angelina Kirilova Kancheva'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 Adversarial Networks (GANs)
- Category: Model Optimization
- Category: Autoencoders
- Category: Unsupervised Learning
- Category: Tensorflow
- Category: Generative Model Architectures
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Convolutional Neural Networks
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Generative AI
- Category: Model Training
