Deep Learning in TensorFlow #5 L2 - RNN: Mathematical Representations

⭐️About this Course This Deep Learning in TensorFlow Specialization is a foundational program that will help you understand the principles and Python code of Machine Learning and Deep Learning and prepare you to participate in the development of leading-edge AI and data scientist technology. In this Specialization, you will build and train neural network architectures with some hands-on project, such as Vanilla Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and learn the advance techniques on how to make them better with strategies. ================================================================================= What you will learn from this course: Course 1 Numpy Basics - Introduction to Tensors for Deep Learning with NumPy - NumPy Structure - NumPy Properties & Attributes - NumPy Array Creation - NumPy Indexing and Slicing - NumPy Shap