- Convolutional Neural Networks
- Keras (Neural Network Library)
- Deep Learning
- Performance Tuning
- Artificial Neural Networks
- Transfer Learning
- Unsupervised Learning
- Tensorflow
- Generative Adversarial Networks (GANs)
- Autoencoders
- Model Evaluation
- Recurrent Neural Networks (RNNs)
Deep Learning with Keras and Tensorflow
Completed by Akshat Singh Chauhan
August 14, 2024
23 hours (approximately)
Akshat Singh Chauhan'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
