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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

This course is part of DeepLearning.AI TensorFlow Developer Professional Certificate

Instructor: Laurence Moroney

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

Computer Vision

Artificial Neural Networks

Deep Learning

Tensorflow

Image Analysis

Artificial Intelligence and Machine Learning (AI/ML)

Keras (Neural Network Library)

There are 4 modules in this course

The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Introduction to Computer Vision

Enhancing Vision with Convolutional Neural Networks

Using Real-world Images

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Convolutional Neural Networks in TensorFlow

TensorFlow: Advanced Techniques

Sequences, Time Series and Prediction

Deep Learning - Artificial Neural Networks with TensorFlow