TensorFlow Developer Certificate
Introduction
The TensorFlow Developer Certificate, provided by Google, is a professional certification for individuals seeking to demonstrate proficiency in machine learning and the TensorFlow framework.
This certificate tests tests a developers foundational knowledge of integrating machine learning into tools and applications. The certificate program requires an understanding of building TensorFlow models using Computer Vision, Convolutional Neural Networks, Natural Language Processing, and real-world image data and strategies.
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Learning Objectives
People who have achieved the TensorFlow Developer Certificate have demonstrated the following skills:
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Foundational principles of ML and Deep Learning
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Building ML models in TensorFlow 2.x
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Building image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
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Using real-world images in different shapes and sizes to visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy
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Exploring strategies to prevent overfitting, including augmentation and dropouts
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Applying neural networks to solve natural language processing problems using TensorFlow