DeepLearning.AI TensorFlow Developer Professional Certificate

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.

Intermediate 0(0 Ratings) 0 Students enrolled English
Created by Thi Nguyen Van
Last updated Thu, 15-Aug-2024
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Course overview

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
Curriculum for this course
4 Lessons 00:00:00 Hours
Introduction
2 Lessons 00:00:00 Hours
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    .
  • Sequences, Time Series and Prediction
    .
Main Skills
2 Lessons 00:00:00 Hours
  • Convolutional Neural Networks in TensorFlow
    .
  • Natural Language Processing in TensorFlow
    .
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About instructor

Thi Nguyen Van

0 Reviews | 9 Students | 65 Courses
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