Deep Learning with Keras and Tensorflow
Completed by Amaresan Balakrishnan Varadha
February 8, 2024
23 hours (approximately)
Amaresan Balakrishnan Varadha'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: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Optimization
- Category: Keras (Neural Network Library)
- Category: Autoencoders
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Transfer Learning
- Category: Generative Model Architectures
- Category: Generative Adversarial Networks (GANs)
- Category: Applied Machine Learning
