Deep Learning Frameworks and Neural Networks Simplified
By External Provider
About this course
This comprehensive Deep Learning program will equip you with advanced skills in TensorFlow, Keras, Recurrent Neural Networks (RNNs), and Neural Networks. You’ll learn to implement cutting-edge AI models and frameworks to tackle real-world challenges and drive impactful innovations. By the end of this course, you will be able to: - Master TensorFlow and Keras: Learn TensorFlow’s architecture, features, and updates from 1.0 to 2.0, and use Keras for data handling and object detection. - Apply RNNs and LSTMs: Understand Recurrent Neural Networks, address the gradient problem, and implement Long Short-Term Memory (LSTM) networks for tasks like time series analysis and natural language processing. - Explore Neural Networks: Dive into feedforward, convolutional, and recurrent neural networks to understand their applications and functionality. - Develop Practical AI Solutions: Build and deploy advanced AI models for solving real-world problems in diverse industries. Guided by experts, you’ll gain the technical expertise and practical knowledge needed to excel in the fast-evolving field of deep learning.
What you will learn
- Master TensorFlow and Keras for model building and object detection
- Apply RNNs and LSTM networks for sequential data tasks
- Explore feedforward, convolutional, and recurrent neural networks
- Build and deploy AI models to solve real-world challenges