Deep Learning with Keras and Tensorflow
Completed by Simon Kagwi Mwangi
May 8, 2024
23 hours (approximately)
Simon Kagwi Mwangi'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: Keras (Neural Network Library)
- Category: Generative Model Architectures
- Category: Reinforcement Learning
- Category: Transfer Learning
- Category: Generative AI
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Tensorflow
- Category: Autoencoders
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Deep Learning
