Getting started with TensorFlow 2
About this Course
Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models. You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant. In addition there is a series of automatically graded programming assignments for you to consolidate your skills. At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop an image classifier deep learning model from scratch. 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, as well as users with experience in Tensorflow 1.x. The prerequisite knowledge required in order to be successful in this course is proficiency in the python programming language, (this course uses python 3), knowledge of general machine learning concepts (such as overfitting/underfitting, supervised learning tasks, validation, regularisation and model selection), and a working knowledge of the field of deep learning, including typical model architectures (MLP/feedforward and convolutional neural networks), activation functions, output layers, and optimisation.Created by: Imperial College London
Related Online Courses
Modern applications that we build invariably have touch-points with its users through web-based and mobile platforms. Users interact with the software through these interfaces and the experiences... more
By completing the Splunk Knowledge Manager 101, 102 & 103, you will be able to create knowledge objects including lookups, data models, and different types of fields. In addition to this, you will... more
This Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation. Specifically, we look at models used in Silicon Valley to grow both... more
The ASP.NET Foundation course is an introductory-level course that aims to provide learners with a fundamental understanding of the ASP.NET framework and its components. The course is designed to... more
In the Music Education for Teachers specialization, you will explore ways of integrating popular music into your teaching. You\'ll begin by learning from two highly experienced teachers, Krystal... more