DeepLearning.AI
DeepLearning.AI TensorFlow Developer Professional Certificate
DeepLearning.AI

DeepLearning.AI TensorFlow Developer Professional Certificate

Taught in English

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Laurence Moroney

Instructor: Laurence Moroney

201,880 already enrolled

Professional Certificate - 4 course series

Earn a career credential that demonstrates your expertise

4.7

(21,278 reviews)

Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.

  • Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.

  • Build natural language processing systems using TensorFlow.

  • Apply RNNs, GRUs, and LSTMs as you train them using text repositories.

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Professional Certificate - 4 course series

Earn a career credential that demonstrates your expertise

4.7

(21,278 reviews)

Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Advance your career with in-demand skills

  • Receive professional-level training from DeepLearning.AI
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from DeepLearning.AI
  • Prepare for an industry certification exam
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Professional Certificate - 4 course series

What you'll learn

  • Learn best practices for using TensorFlow, a popular open-source machine learning framework

  • Build a basic neural network in TensorFlow

  • Train a neural network for a computer vision application

  • Understand how to use convolutions to improve your neural network

Skills you'll gain

Category: Computer Vision
Category: Tensorflow
Category: Machine Learning

Convolutional Neural Networks in TensorFlow

Course 216 hours4.7 (8,075 ratings)

What you'll learn

  • Handle real-world image data

  • Plot loss and accuracy

  • Explore strategies to prevent overfitting, including augmentation and dropout

  • Learn transfer learning and how learned features can be extracted from models

Skills you'll gain

Category: Tensorflow
Category: Machine Learning
Category: Dropouts
Category: Inductive Transfer
Category: Augmentation

Natural Language Processing in TensorFlow

Course 324 hours4.6 (6,428 ratings)

What you'll learn

  • Build natural language processing systems using TensorFlow

  • Process text, including tokenization and representing sentences as vectors

  • Apply RNNs, GRUs, and LSTMs in TensorFlow

  • Train LSTMs on existing text to create original poetry and more

Skills you'll gain

Category: RNNs
Category: Tensorflow
Category: Machine Learning
Category: Tokenization
Category: Natural Language Processing

Sequences, Time Series and Prediction

Course 422 hours4.7 (5,006 ratings)

What you'll learn

  • Solve time series and forecasting problems in TensorFlow

  • Prepare data for time series learning using best practices

  • Explore how RNNs and ConvNets can be used for predictions

  • Build a sunspot prediction model using real-world data

Skills you'll gain

Category: prediction
Category: Tensorflow
Category: Forecasting
Category: Time Series
Category: Machine Learning

Instructor

Laurence Moroney
DeepLearning.AI
15 Courses492,999 learners

Offered by

DeepLearning.AI

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