What you’ll learn
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Learn to pass Google’s official TensorFlow Developer Certificate exam (and add it to your resume)
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Build TensorFlow models using Computer Vision, Convolutional Neural Networks and Natural Language Processing
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Complete access to ALL interactive notebooks and ALL course slides as downloadable guides
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Increase your skills in Machine Learning and Deep Learning, to test your abilities with the TensorFlow assessment exam
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Understand how to integrate Machine Learning into tools and applications
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Learn to build all types of Machine Learning Models using the latest TensorFlow 2
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Build image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
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Using real world images to visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy
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Applying Deep Learning for Time Series Forecasting
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Gain the skills you need to become a TensorFlow Certified Developer
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Be recognized as a top candidate for recruiters seeking TensorFlow developers
Who this course is for:
- Anyone who wants to pass the TensorFlow Developer exam so they can join Google’s Certificate Network and display their certificate and badges on their resume, GitHub, and social media platforms including LinkedIn, making it easy to share their level of TensorFlow expertise with the world
- Students, developers, and data scientists who want to demonstrate practical machine learning skills through the building and training of models using TensorFlow
- Anyone looking to expand their knowledge when it comes to AI, Machine Learning and Deep Learning
- Anyone looking to master building ML models with the latest version of TensorFlow
Deal Score-2
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