TensorFlow is a leading open-source deep learning framework, and the DeepLearning.AI TensorFlow Developer Professional Certificate program equips you with the skills to harness its potential. Over four hands-on courses, you'll delve into building scalable AI-powered applications, handling real-world image data, creating natural language processing systems, and solving time series and forecasting problems. Throughout the program, you'll learn best practices for TensorFlow, including preventing overfitting, utilizing convolutions, and applying RNNs, GRUs, and LSTMs.
Upon completion, you'll be proficient in deploying models and customizing powerful real-world models for complex scenarios, preparing for the Google TensorFlow Certificate exam, and applying your new TensorFlow skills to a wide range of projects. Whether you're aiming to go live with your models or customize and build real-world models, this program provides the essential tools and knowledge to succeed.
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This comprehensive program comprises four courses tailored to equip you with applied machine learning skills using TensorFlow. From foundational concepts to advanced techniques, you'll gain expertise in building and training powerful models for a wide range of applications.
Learn best practices for using TensorFlow, build a basic neural network, and train it for a computer vision application. Understand how to utilize convolutions to enhance your neural network.
Handle real-world image data, explore strategies to prevent overfitting, including augmentation and dropout, and delve into transfer learning.
Build natural language processing systems, process text including tokenization, and apply RNNs, GRUs, and LSTMs in TensorFlow to train models for creating original poetry and more.
Solve time series and forecasting problems, prepare data for time series learning using best practices, and explore the use of RNNs and ConvNets for predictions. Build a sunspot prediction model using real-world data.
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