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Introduction to TensorFlow in Python

Intermediate
4+
21 reviews
Updated 12/2024
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
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PythonMachine Learning4 hours15 videos51 exercises4,300 XP51,086Statement of Accomplishment

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Course Description

Get an Introduction to TensorFlow

Not long ago, cutting-edge computer vision algorithms couldn’t differentiate between images of cats and dogs. Today, a skilled data scientist equipped with nothing more than a laptop can classify tens of thousands of objects with greater accuracy than the human eye.

In this course, you will use TensorFlow 2.6 to develop, train, and make predictions with the models that have powered major advances in recommendation systems, image classification, and FinTech.

Use Linear Models to Make Predictions

You’ll discover how to use TensorFlow 2.6 to make predictions using linear regression models, and will test out your knowledge by predicting house prices in King County. This section of the course includes a view of loss functions and how you can reduce your resource use by training your linear model in batches.

Train Your Neural Network

In the second half of the course, you’ll use the same tools to make predictions using neural networks. You’ll practice training a network in TensorFlow by adding trainable variables and using your model and test features to predict target values.

Combine TensorFlow with the Keras API

Add Keras’ powerful API to your repertoire and learn to combine it with TensorFlow 2.6 to make predictions and evaluate models. By the end of this course, you’ll understand how to use the Estimators API to streamline model definition and to avoid errors.

Prerequisites

Supervised Learning with scikit-learn
1

Introduction to TensorFlow

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2

Linear models

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3

Neural Networks

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4

High Level APIs

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Introduction to TensorFlow in Python
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*4
from 21 reviews
48%
19%
24%
5%
5%
  • Edson M.
    2 months

    It helped me a lot for underdstanding Tensorflow. I will suscribe to DataCamp for other courses.

  • R G.
    3 months

    The course is concise and to the point. The exercises are smart and build on top of each other and are easy to follow. Thank you. But the slides can be made slightly richer, with more voice explanation in the narration.

  • Agustina F.
    6 months

    *

  • James K.
    12 months

    Was a very accessible course. I enjoyed learning neural networks for the first time and the course made it look easy. Very complex ideas were broken down into palatable pieces. Highly recommended.

  • Sijesh A.
    about 1 year

    Excellent

"It helped me a lot for underdstanding Tensorflow. I will suscribe to DataCamp for other courses."

Edson M.

"The course is concise and to the point. The exercises are smart and build on top of each other and are easy to follow. Thank you. But the slides can be made slightly richer, with more voice explanation in the narration."

R G.

"*"

Agustina F.

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