Deep Learning and TensorFlow focuses on building and training neural network models using the TensorFlow framework. Deep learning enables machines to learn patterns from large datasets through layered neural networks. This training explains how to design, train, and evaluate models such as CNNs and RNNs using TensorFlow. It also covers data preprocessing, activation functions, loss functions, and optimization techniques. You will learn how to implement real-world applications like image recognition, natural language processing, and predictive analytics. The course also highlights best practices for building scalable, efficient, and production-ready deep learning models.
Showing the single result
