Master the Tensorflow 2.0 concepts to create deep learning algorithms for your business.
Tensorflow is the world's most widely used deep learning framework, and it was created by Google. Tensorflow is the machine learning and artificial intelligence library of preference for many businesses. Deep Learning with TensorFlow 2.0 online certification is created by 365 Careers, an Udemy-affiliated educational platform that creates opportunities for finance and data science students.
Deep Learning with TensorFlow 2.0 online classes offers 6 hours of prerecorded lessons supported by 18 articles and 20 downloadable resources which are targeted at the students interested in mastering the strategies to code and build deep learning algorithms and machine learning algorithms from scratch to become certified data scientists. Deep Learning with TensorFlow 2.0 online training revolves around topics like neural networks, standardization, machine learning, initialization, normalization, pre-processing, training, validation, overfitting, underfitting, and more.
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Udemy
After completing the Deep Learning with TensorFlow 2.0 certification course, students will develop an in-depth understanding of the principles of deep learning using TensorFlow and will acquire a deeper understanding of mathematical concepts behind deep learning algorithms. In this deep learning certification, students will explore the functionalities of Python and NumPy and acquire an understanding of the basics of neural networks and machine learning. Students will learn about concepts like backpropagation, batching, normalization, standardization, overfitting, underfitting, one-hot encoding, and initialization. In this deep learning course, students will also learn about concepts involved with momentum, rate schedules, training, validation, testing, early stopping, and preprocessing.
Backpropagation. A peek into the Mathematics of Optimization
Bonus lecture: Next steps
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