What you will learn
- Build and train deep neural networks using TensorFlow.
- Apply convolutional neural networks (CNNs) for computer vision tasks.
- Develop natural language processing (NLP) systems with RNNs, GRUs, and LSTMs.
- Implement time series forecasting models using real-world data.
- Understand best practices for using TensorFlow in machine learning applications.
Program Overview
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
⏱️ 22 hours
- Learn the basics of TensorFlow and how to build neural networks.
- Train a neural network for a computer vision application.
Convolutional Neural Networks in TensorFlow
⏱️18 hours
- Explore how to work with real-world images and improve your models.
- Implement strategies to prevent overfitting, including data augmentation and dropout.
Natural Language Processing in TensorFlow
⏱️ 16 hours
- Build NLP systems using TensorFlow.
- Apply RNNs, GRUs, and LSTMs to process text data.
Sequences, Time Series, and Prediction
⏱️ 18 hours
- Learn how to build time series models in TensorFlow.
- Implement best practices to prepare time series data and build prediction models.
Get certificate
Job Outlook
- Proficiency in TensorFlow is essential for roles such as Machine Learning Engineer, Data Scientist, and AI Specialist.
- Skills acquired in this program are applicable across various industries, including technology, healthcare, finance, and more.
- Completing this Professional Certificate can enhance your qualifications for positions that require expertise in deep learning and TensorFlow.
Specification: DeepLearning.AI TensorFlow Developer Professional
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