Deep Learning With Tensorflow 20 Keras and Python

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    On-Demand
  • Learners
    No Information
  • Duration
    14.00
  • Instructor
    /
Next Course
1.5
3 Ratings
Learn the fundamentals of Deep Learning with Tensorflow 20, Keras and Python, and gain the skills to build and deploy powerful AI models with confidence, backed by our proven Problem Promise Proof Proposal methodology.
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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 [August 31st, 2023]

What does this course tell?
(Please note that the following overview content is from Alison)
Deep Learning Tutorial 1 (Tensorflow Tutorial Keras & Python) Why deep learning is becoming so popular? What is a neuron? Deep Learning Tutorial 2 (Tensorflow20 KerAs & Python) Pytorch vs Tensorflow vs Keras Neural Network For Handwritten Digits Classification

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide students with the skills and knowledge to understand and apply deep learning techniques using Tensorflow 20 Keras and Python. Students will learn why deep learning is becoming so popular, what a neuron is, and how to use Pytorch, Tensorflow, and Keras to classify handwritten digits. Additionally, students will gain an understanding of the fundamentals of neural networks and how to use them to solve real-world problems.
lHow does this course contribute to professional growth?
This course contributes to professional growth by providing an in-depth understanding of deep learning and its applications. It covers topics such as why deep learning is becoming so popular, what a neuron is, and how to use Pytorch, Tensorflow, and Keras to classify handwritten digits. Through this course, professionals can gain a comprehensive understanding of deep learning and its various components, allowing them to apply their knowledge to their own projects.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It provides an introduction to deep learning, explains why it is becoming so popular, and covers topics such as neurons, Pytorch, Tensorflow, Keras, and neural networks for handwritten digits classification.

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