TensorfFlow 2 Beginner Course (3 HOURS)
This course provides an introduction to TensorFlow 2.0, a powerful open source library for machine learning. It covers topics such as installation, Tensor basics, neural networks, linear regression, convolutional neural networks, saving and loading models, functional API, classification projects, transfer learning, recurrent neural networks, natural language processing, and more. Learners will gain the skills to build and deploy machine learning models with TensorFlow 2.0. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
- Intro
- 1 Installation
- 2 Tensor Basics
- 3 Neural Net
- 4 Linear Regression
- 5 CNN
- 6 Save & Load
- 7 Functional API
- 8 Classification Project
- 9 Transfer Learning
- 10 RNN / LSTM / GRU
- 11 NLP Project
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
Unlock the Exciting World of Learning! Here's What Awaits You: With the TensorFlow 2 Beginner Course (3 HOURS), you can learn the fundamentals of TensorFlow 2 and gain the skills to build powerful machine learning models. This course covers the installation of TensorFlow 2, the basics of tensors, neural networks, linear regression, convolutional neural networks (CNNs), saving and loading models, the functional API, a classification project, transfer learning, recurrent neural networks (RNNs), long short-term memory (LSTM) networks, gated recurrent units (GRUs), natural language processing (NLP) projects, and more. With this course, you can gain the knowledge and skills to create powerful machine learning models and apply them to real-world problems. You will also learn how to use the latest features of TensorFlow 2 to create efficient and effective models. With this course, you can become a TensorFlow 2 expert and take your machine learning skills to the next level.
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