Deep Learning with Keras and Tensorflow
Completed by Jose Oriol Bielsa Nogaledo
August 4, 2024
23 hours (approximately)
Jose Oriol Bielsa Nogaledo'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: Generative AI
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Autoencoders
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Generative Model Architectures
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
