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Courses>Data Science>TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
DevelopmentTensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
Price:Paid
Length:14.5 hours
Content type:video
level:all levels
Updated:22 February 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
4.3 (607.0)
14.5 hours
607 students
What you will learn
1Complete Understanding of TensorFlow 2.0 from the Scratch
2Artificial Neural Networks (ANNs)
3Convolutional Neural Networks (CNNs)
4Recurrent Neural Networks (RNNs)
5Transfer Learning
6Natural Language Processing
7Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib
Target audiences
1Anyone who wants to start a career in the field of Data Science
2Anyone Passionate about Deep Learning and Artificial Intelligence
Requirements
1Python Programming Basics
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Google has recently released TensorFlow 2.0, it has so many features that simplify the Model Development, Maintenance, Processes and Performance...

Why TensorFlow 2.0 ?

Whether you’re an expert or a beginner, TensorFlow 2.0 is an end-to-end platform that makes it easy for you to build and deploy ML models

With the TensorFlow 2.0,

1) Building the Model is very Easy

2) Robust ML production anywhere

3) Powerful experimentation for research

With this course you will have the Complete Understanding of TensorFlow 2.0 from very Beginning !


List of the Projects,

Project 1: CNN for Digit Recognition

Project 2: CNN for Breast Cancer Detection

Project 3: CNN for Predicting the Bank Customer Satisfaction

Project 4: CNN for Credit Card Fraud Detection

Project 5: RNN - LSTM for IMDB Review Classification

Project 6: Google Stock Price Prediction with RNN and LSTM


Main Topics Covered in this Course,

Part 1:  Introduction (Section 1)

Part 2: Artificial Neural Networks (Section 2 - Section 4)

Part 3: Convolutional Neural Networks (Section 5 - Section 11)

Part 4: Recurrent Neural Networks (Section 12 - Section 15)

Part 5: Transfer Learning

Part 6: Natural Language Processing (Section 16)

Part 7: Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib (Section 17 - Section 19)


Regards,

Vijay Gadhave

Similar courses
Opportunities
Make the most out of your online education
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Careertail
Courses>Data Science>TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
DevelopmentTensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
Price:Paid
Length:14.5 hours
Content type:video
level:all levels
Updated:22 February 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI
4.3 (607.0)
14.5 hours
607 students
What you will learn
1Complete Understanding of TensorFlow 2.0 from the Scratch
2Artificial Neural Networks (ANNs)
3Convolutional Neural Networks (CNNs)
4Recurrent Neural Networks (RNNs)
5Transfer Learning
6Natural Language Processing
7Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib
Target audiences
1Anyone who wants to start a career in the field of Data Science
2Anyone Passionate about Deep Learning and Artificial Intelligence
Requirements
1Python Programming Basics
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Google has recently released TensorFlow 2.0, it has so many features that simplify the Model Development, Maintenance, Processes and Performance...

Why TensorFlow 2.0 ?

Whether you’re an expert or a beginner, TensorFlow 2.0 is an end-to-end platform that makes it easy for you to build and deploy ML models

With the TensorFlow 2.0,

1) Building the Model is very Easy

2) Robust ML production anywhere

3) Powerful experimentation for research

With this course you will have the Complete Understanding of TensorFlow 2.0 from very Beginning !


List of the Projects,

Project 1: CNN for Digit Recognition

Project 2: CNN for Breast Cancer Detection

Project 3: CNN for Predicting the Bank Customer Satisfaction

Project 4: CNN for Credit Card Fraud Detection

Project 5: RNN - LSTM for IMDB Review Classification

Project 6: Google Stock Price Prediction with RNN and LSTM


Main Topics Covered in this Course,

Part 1:  Introduction (Section 1)

Part 2: Artificial Neural Networks (Section 2 - Section 4)

Part 3: Convolutional Neural Networks (Section 5 - Section 11)

Part 4: Recurrent Neural Networks (Section 12 - Section 15)

Part 5: Transfer Learning

Part 6: Natural Language Processing (Section 16)

Part 7: Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib (Section 17 - Section 19)


Regards,

Vijay Gadhave

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot