What you'll learn

Understand the foundational concepts of Convolutional Neural Networks (CNNs) and their architecture

Apply CNN models to real-world image and text classification tasks using TensorFlow

Analyze the performance of CNNs and optimize them with techniques like data augmentation and batch normalization

Evaluate the effectiveness of transfer learning using pre-trained models on new datasets