Deep Learning with Keras and Tensorflow
Completed by Pratik Kalwankar
March 31, 2024
23 hours (approximately)
Pratik Kalwankar'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: Transfer Learning
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Unsupervised Learning
- Category: Convolutional Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Optimization
- Category: Deep Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Generative AI
