TensorFlow 2 Fundamentals with Keras

Embarking on the journey of deep learning requires a solid foundation in the tools that power it. This course provides a clear, step-by-step introduction to TensorFlow 2, focusing on its intuitive and powerful Keras API. By the end of this course, you will possess a comprehensive understanding of TensorFlow 2's core principles and practical skills to confidently design, implement, and evaluate deep learning models from the ground up. What you'll learn: * Understand fundamental deep learning concepts and neural network architectures. * Configure a TensorFlow 2 environment and essential tools for model development. * Build and train various neural networks using the high-level Keras API. * Implement efficient data loading and preprocessing pipelines with `tf.data`. * Optimize model execution and performance using `tf.function` decorators. * Evaluate, debug, and refine deep learning models for improved accuracy. * Apply basic transfer learning techniques to adapt pre-trained models. This course begins with foundational deep learning concepts and TensorFlow 2 basics, then progresses through practical model construction with Keras, efficient data handling, and performance optimization techniques. You will read explanations and practice through written exercises. This course is designed for absolute beginners with no prior experience in deep learning or TensorFlow. No prerequisites are required to start. Begin your journey into the exciting world of deep learning with a strong and practical foundation.