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Learn Tensorflow Graph | Best Tutorials and Courses


Taught By: Jose Portilla
Duration: Approx. 14 hours to complete
Description: This course covers the following topics in Machine Learning which we can code using Tensorflow in Python: Installation and Setup of Tensorflow, Introduction to Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, AutoEncoders, Reinforcement Learning, GAN - Generative Adversarial Networks.
Prerequisite: You need to have basic knowledge in Python programming and basic knowledge of maths and statistics.
Taught By: Intellipaat
Duration: Duration
Description: This Tensorflow tutorial helps you to learn the following topics: What are Tensors?, Tensor Rank, Computational Graph, Program Elements in Tensorflow, Constants in Tensorflow, Placeholders in Tensorflow, Variable in Placeholder.
Prerequisite: You need to have basic knowledge of Python programming.
Taught By: Laurence Moroney
Duration: Approx. 30 hours to complete
Description: This course covers the following topics which we can code using TensorFlow in Python: Introduction to Computer Vision, Convolutional Neural Networks.
Prerequisite: This course requires experience in Python coding and intermediate level maths. Also, a brief knowledge about machine learning and deep learning will be helpful, but not required.
Taught By: Aurélien Geron
Duration: Self-Paced
Description: This is one of the best books you can get for someone who is just starting out in Machine Learning, in its libraries such as Tensorflow. The book covers the basics in a very good manner.
Prerequisite: You need to have basic Python knowledge to understand the material in the book.
Taught By: LevelUpTuts
Duration: Self-Paced
Description: You will learn about Gatsby.js basics, Building an app in Gatsby, Working with Files, Adding Plugins and Using Sass, Markdown, Testing Queries with GraphQL, Building an Index Page, Building your static site, Filters and Sorting with GraphQL, etc.
Prerequisite: You need to know about the basics of React and JavaScript.
Duration: Self-Paced
Description: You will learn about GraphQL basics, Queries and Mutations (Fields, Arguments, Aliases, Fragments, Operation Name, Variables, Directives, Mutations, Inline Fragments), Schemas and Types (Type System, Type Language, Object Types and Fields, Arguments, Query and Mutation Types, Scalar Types, Enumeration Types, Lists and Non-Null, Interfaces, Unions), Validation, Execution, etc.
Prerequisite: You need to have a basic understanding of Node.js.
Taught By: How to GraphQL
Duration: Self-Paced
Description: You will learn about GraphQL basics, GraphQl vs REST, Architecture, Query, Mutation, Adding a Database, Connecting the Server and Database with Prisma Client, Authentication, Realtime GraphQL subscriptions, Filtering, Pagination, and Sorting, etc.
Prerequisite: You need to have a basic understanding of Node.js.
Taught By: Hasura
Duration: Self-Paced
Description: You will learn about GraphQL basics, GraphQL vs REST, Introspection, Queries, Mutations, Subscriptions, GraphQL Servers, GraphQL CLients, etc.
Prerequisite: You need to have a basic understanding of Node.js.
Taught By: Contentful
Duration: Self-Paced
Description: You will learn about GraphQL basics, GraphQL Endpoints, Fetching Component Data, Environment Variables, Hooks, Catching Errors, Components, Image Transformation, Fragments, Previewing Data, Dynamic Responses, Outro, etc.
Prerequisite: You need to have a basic understanding of Node.js.
Taught By: Digital Ocean
Duration: Self-Paced
Description: You will learn about What is GraphQL and how it works from the client, Setting up a GraphQL endpoint on Postgres with Hasura and DigitalOcean, Exploring GraphQL queries (reads), mutations (writes), and subscriptions (real-time).
Prerequisite: You need to have a basic understanding of Node.js.
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