Deep Learning with TensorFlow introduces the fundamentals of building and deploying machine learning models using the TensorFlow framework. This course covers core concepts like neural networks, activation functions, backpropagation, and optimization techniques essential for deep learning.

Participants will learn how to design, train, and evaluate deep learning models for tasks such as image recognition, natural language processing, and time series forecasting. The course also includes hands-on experience with TensorFlow’s powerful APIs, including Keras, to build complex architectures like convolutional and recurrent neural networks.

By mastering TensorFlow, learners will be equipped to solve complex AI problems and implement state-of-the-art solutions across various industries.