- Unsupervised Learning
- Deep Learning
- Keras (Neural Network Library)
- Artificial Neural Networks
- Autoencoders
- Generative Adversarial Networks (GANs)
- Transfer Learning
- Recurrent Neural Networks (RNNs)
- Convolutional Neural Networks
- Model Evaluation
- Tensorflow
- Reinforcement Learning
Deep Learning with Keras and Tensorflow
Completed by Harshita Singh
February 1, 2023
23 hours (approximately)
Harshita Singh'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
