Deep Learning with Keras and Tensorflow
Completed by Manasvith Pokanati
August 4, 2024
23 hours (approximately)
Manasvith Pokanati'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: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Unsupervised Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Generative Adversarial Networks (GANs)
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Transfer Learning
- Category: Tensorflow
