Deep Learning with Keras and Tensorflow
Completed by Samir Agrawal
July 24, 2024
23 hours (approximately)
Samir Agrawal'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: Model Evaluation
- Category: Generative Adversarial Networks (GANs)
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Recurrent Neural Networks (RNNs)
- Category: Unsupervised Learning
- Category: Computer Vision
- Category: Autoencoders
- Category: Performance Tuning
- Category: Deep Learning
- Category: Transfer Learning
- Category: Reinforcement Learning
