TensorFlow

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Generative Deep Learning with TensorFlow (Coursera)

May 10th 2021
Generative Deep Learning with TensorFlow (Coursera)
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In this course, you will: a) Learn neural style transfer using transfer learning: extract the content of an image (eg. swan), and the style of a painting (eg. cubist or impressionist), and combine the content and style into a new image; b) Build simple AutoEncoders on the familiar MNIST [...]
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May 10th 2021
Course Auditing
40.00 EUR/month

Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)

May 10th 2021
Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)
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In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network; • Build custom loss functions (including the contrastive loss function used in a Siamese network) in [...]
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May 10th 2021
Course Auditing
41.00 EUR/month

Custom and Distributed Training with TensorFlow (Coursera)

May 10th 2021
Custom and Distributed Training with TensorFlow (Coursera)
Course Auditing
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In this course, you will: • Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the difference between the eager and graph modes in TensorFlow, and learn how to use a TensorFlow tool to calculate gradients; • Build your own custom training loops using GradientTape and TensorFlow [...]
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May 10th 2021
Course Auditing
41.00 EUR/month

Advanced Deployment Scenarios with TensorFlow (Coursera)

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this final course, you’ll explore four different scenarios you’ll encounter when deploying [...]
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Probabilistic Deep Learning with TensorFlow 2 (Coursera)

Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning [...]
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Sequences, Time Series and Prediction (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
1
Average: 1 ( 3 votes )

Convolutional Neural Networks (Coursera)

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to [...]
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Deep Learning for Business (Coursera)

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So [...]
10
Average: 10 ( 3 votes )

Google Cloud Platform Big Data and Machine Learning Fundamentals (Coursera)

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of [...]
9
Average: 9 ( 3 votes )

Natural Language Processing in TensorFlow (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
6
Average: 6 ( 3 votes )