Getting started with tensorflow 2 coursera github. Oct 24, 2025 · Getting started with Tensorflow 2.

Getting started with tensorflow 2 coursera github Contribute to kinkinava/coursera-Getting-started-with-TensorFlow-2 development by creating an account on GitHub. Capstone Project for Getting Started with Tensorflow 2. Oct 24, 2025 · Getting started with Tensorflow 2. Contribute to MohammedElmehdiMehaya/Getting-started-with-Tensorflow-2 development by creating an account on GitHub. 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 Jan 1, 2020 · About Getting started with TensorFlow 2 course at coursera, 01/01/2020 Getting started with TensorFlow 2. 0 on Coursera We create an image classifier for the SVNH dataset using a simple MLP as well as a CNN model and compare their respective accuracy. 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. It assumes that you have basic knowledge of Deep Learning and you understand how a neural network works. Getting Started with Tensorflow 2 Coursera This is a repository with my solutions/notebooks + all the scripts that I've created during this course from Coursera and the Imperial College of London Contribute to GSNCodes/Getting-started-with-TensorFlow-2-Coursera development by creating an account on GitHub. Mar 3, 2025 · All of the course materials for the Zero to Mastery Deep Learning with TensorFlow course. Coursera course on Tensorflow 2. Many would say that it's competed with PyTorch (released in 2016) for popularity, with PyTorch being the preferred library for most deep learning researchers over the past few years. In this guide, we’ll introduce you to the basics of using TensorFlow with GitHub. Getting-started-with-TensorFlow-2 This is a collection of my solutions to the Assignments for the course, "Getting Started with TensorFlow 2" by Imperial College London in Coursera. :) Star ⭐️ this repo if you find it useful :D Tensorflow is an open source machine library, and is one of the most widely used frameworks for deep learning. Getting Started with Tensorflow 2 Coursera This is a repository with my solutions/notebooks + all the scripts that I've created during this course from Coursera and the Imperial College of London Aug 15, 2022 · Introduction to TensorFlow on Coursera TensorFlow is a powerful open-source software library for data analysis and machine learning. The first course of this Specialization will guide you through the fundamental concepts required to successfully build . Contribute to GSNCodes/Getting-started-with-TensorFlow-2-Coursera development by creating an account on GitHub. Start in the following Sequence. Contribute to Prashil1/Getting-Started-With-Tensorflow-2-Coursera development by creating an account on GitHub. Sep 15, 2025 · 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. 0 Tensorflow is Google's public deep learning library, first released in 2015. README Getting Started with Tensorflow 2 This is a detailed repository with all the information and code for you to get started with Tensorflow which is one of the most famous Deep Learning Frameworks. This Specialization is intended for machine learning researchers and practitioners who are seeking to develop practical skills in the popular deep learning framework TensorFlow. This course will teach you the foundations of deep learning and how to build and train neural networks for various problem types with TensorFlow/Keras. khg iqrj lkyrt wnrow akrwf zwf mkgl mmfg wcegr ojz dglt rfisygi fjcgjk nko qtgc