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 Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to ...
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 Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to ...
TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. In this hands-on, four-course Professional Certificate program, you’ll learn the …
Tensorflow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of Tensorflow 2 marks a step change in the product development, with a central focus on ease of use for all users, from beginner to advanced level. This course is intended for both users who are completely new to Tensorflow ...
Andrew Ng | |
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Thesis | Shaping and Policy Search in Reinforcement Learning (2003) |
Doctoral advisor | Michael I. Jordan |
What you will learn 1 Learn best practices for using TensorFlow, a popular open-source machine learning framework 2 Build a basic neural network in TensorFlow 3 Train a neural network for a computer vision application 4 Understand how to use convolutions to improve your neural network
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit.
If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option: The course may not offer an audit option.
This first course introduces you to TensorFlow, a popular machine learning framework. You will learn how to build a basic neural network for computer vision and use convolutions to improve your neural network.
Week 2: Introduction to Computer Vision 1 A conversation with Andrew Ng 2 An introduction to computer vision 3 Writing code to load training data 4 Coding a computer vision neural network 5 Walk through a notebook for computer vision 6 Using callbacks to control training 7 Walk through a notebook with callbacks
Introduce transfer learning (leveraging what one model has learned somewhere else and how to adjust it to our own problem, a way to beat all of our old self-built models)
A certification is only one form of proof of skill. Rather than an official certification, I’m a big fan of starting the job before you have it. For example, if you have some ideal role you’d like to work for a company as. Say, a machine learning engineer.
Tensorflow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of Tensorflow 2 marks a step change in the product development, with a central focus on ease of use for all users, from beginner to advanced level.
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization.
Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
What you will learn 1 Build natural language processing systems using TensorFlow 2 Process text, including tokenization and representing sentences as vectors 3 Apply RNNs, GRUs, and LSTMs in TensorFlow 4 Train LSTMs on existing text to create original poetry and more
This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
TensorFlow 2.x has made building deep learning models quite easy and flexible by integrating Keras, another deep learning framework. Take this intermediate-level online TensorFlow course on Coursera to get yourself comfortable with TensorFlow basics, Keras, and the Google AI Cloud.
TensorFlow has risen in popularity over the years as one of the top machine learning frameworks used throughout the deep learning industry and academic institutions. So if you want to break into this exciting field and build powerful applications, you’ve come to the right place!
In this online course, you will be taught by Adam Geitgey, a software engineer and machine learning consultant. Adam has more than 15 years of professional experience on top of a bachelor’s degree in computer science from the Georgia Institute of Technology.
Google – the developer of TensorFlow – has provided its Google Cloud Platform for TensorFlow users all over the world to build machine learning applications. This 5-course specialization on Coursera will make you capable of doing end-to-end machine learning using GCP.
Your teacher for this online course will be Jerry Kurata, a machine learning enthusiast who has a master’s degree in computer science. Jerry has authored 6 courses on Pluralsight, earning an average instructor rating of 4.5 stars.