Convolutional Neural Networks in TensorFlow

You need to be able to use the tools to create scalable AI-powered software if you want to become a software developer. This course is part the Machine Learning in Tensorflow Specialization. It will show you how to use TensorFlow, an open-source framework that enables machine learning.

The deeplearning.ai TensorFlow Specialistization will teach you advanced techniques to enhance the computer vision model that you created in Course 1. This course will teach you how to work with real-world images of different sizes and shapes, how to visualize the image's journey through convolutions, how to plot loss and accuracy, as well as how to avoid overfitting. Course 2 will teach you how to transfer learning and extract learned features from models. Andrew Ng's Machine Learning Course and Deep Learning Specialization will teach you the fundamental principles of Machine Learning. The new TensorFlow TensorFlow Specialization from deeplearning.ai teaches you how TensorFlow can be used to implement these principles, so you can begin building and applying scalable model solutions to real-world problems. Deep Learning Specialization is recommended to gain a deeper understanding about how neural networks operate.