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

DeepLearning.AI TensorFlow Developer Professional Certificate

Learn to build AI apps with Tensorflow. Build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis, along with best practices and hands-on experience in one of the most in-demand deep learning frameworks.

Laurence Moroney

Instructor: Laurence Moroney

210,708 already enrolled

Earn a career credential that demonstrates your expertise
4.7

(21,616 reviews)

Intermediate level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.7

(21,616 reviews)

Intermediate level

Recommended experience

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 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.

Details to know

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Taught in English

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  • 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 (8,155 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: Convolutional Neural Network
Category: Transfer Learning
Category: Machine Learning
Category: Dropouts
Category: Data Augmentation

Natural Language Processing in TensorFlow

Course 323 hours4.6 (6,490 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: Natural Language Processing
Category: Text Vectorization

Sequences, Time Series and Prediction

Course 421 hours4.7 (5,082 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
19 Courses528,719 learners

Offered by

DeepLearning.AI

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Frequently asked questions

¹Based on Coursera learner outcome survey responses, United States, 2021.