Deep Learning with Keras and Tensorflow
Completed by Roman Marchuk
July 7, 2024
23 hours (approximately)
Roman Marchuk'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: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Generative AI
- Category: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Convolutional Neural Networks
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Autoencoders
- Category: Time Series Analysis and Forecasting
