Deep Learning with Keras and Tensorflow
Completed by Inna Kolotyliuk
February 12, 2020
23 hours (approximately)
Inna Kolotyliuk'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: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Generative AI
- Category: Tensorflow
- Category: Transfer Learning
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
