Deep Learning with Keras and Tensorflow
Completed by Noah Lebowitz-Lockard
February 8, 2024
23 hours (approximately)
Noah Lebowitz-Lockard'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: Time Series Analysis and Forecasting
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Generative AI
- Category: Transfer Learning
- Category: Tensorflow
- Category: Reinforcement Learning
