Learn Tensorflow from Coursera

Coursera offers you 73 courses, to learn Tensorflow now!

Coursera, is an American online learning platform founded in 2012 by Stanford professors Andrew Ng and Daphne Koller that offers massive open online courses (MOOC), specializations, and degrees. Coursera works with universities and other organizations to offer online courses, specializations, and degrees in a variety of subjects, such as engineering, data science, machine learning, mathematics, business, computer science, digital marketing, humanities, medicine, biology, social sciences, and others. - read more on Wikipedia

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Image Understanding with TensorFlow on GCP

This is the third course of the Advanced Machine Learning on GCP specialization. In this course^

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Natural Language Processing in TensorFlow

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 …

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Recommendation Systems with TensorFlow on GCP

In this course^ you ll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.

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  • student Intermediate
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Basic Artificial Neural Networks in Python

In this 1-hour long project-based course^ you will learn basic principles of how Artificial Neural Networks (ANNs) work^ and how this can be implemented in Python. Together^ we will explore basic Python implementations of feed-forward propagation^ back propagation using gradient …

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Build a Deep Learning Based Image Classifier with R

In this 45-min guided project^ you will learn the basics of using the Keras interface to R with Tensorflow as its backend to solve an image classification problem. By the time you complete this project^ you will have used the …

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Build Multilayer Perceptron Models with Keras

In this 45-minute long project-based course^ you will build and train a multilayer perceptronl (MLP) model using Keras^ with Tensorflow as its backend. We will be working with the Reuters dataset^ a set of short newswires and their topics^ published …

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  • clock 15h

Classify Radio Signals from Space using Keras

In this 1-hour long project-based course^ you will learn the basics of using Keras with TensorFlow as its backend and use it to solve an image classification problem. The data we are going to use consists of 2D spectrograms of …

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Generate Synthetic Images with DCGANs in Keras

In this hands-on project^ you will learn about Generative Adversarial Networks (GANs) and you will build and train a Deep Convolutional GAN (DCGAN) with Keras to generate images of fashionable clothes. We will be using the Keras Sequential API with …

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  • student Beginner
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Improving Deep Neural Networks: Hyperparameter tuning^ Regularization and Optimization

This course will teach you the magic of getting deep learning to work well. Rather than the deep learning process being a black box^ you will understand what drives performance^ and be able to more systematically get good results. You …

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Named Entity Recognition using LSTMs with Keras

In this 1-hour long project-based course^ you will use the Keras API with TensorFlow as its backend to build and train a bidirectional LSTM neural network model to recognize named entities in text data. Named entity recognition models can be …

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Real-time OCR and Text Detection with Tensorflow^ OpenCV and Tesseract

In this 1-hour long project-based course^ you will learn how to collect and label images and use them to train a Tensorflow CNN (convolutional neural network) model to recognize relevant areas of (typeface) text in any image^ video frame or …

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Save^ Load and Export Models with Keras

In this 1 hour long project based course^ you will learn to save^ load and restore models with Keras. In Keras^ we can save just the model weights^ or we can save weights along with the entire model architecture. We …

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