Tensorflow Image Classification | Build Your Own Image Classifier In Tensorflow | Edureka

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***AI and Deep Learning using TensorFlow: https://edureka.co/ai-deep-learning-with-tensorflow ***
This Edureka Live video on “Tensorflow Image Classification” will provide you with a comprehensive and detailed knowledge of Image classification and how it can be implemented using Tensorflow. It covers the following topics:

1:04 What is TensorFlow
1:35 Applications of TensorFlow
2:32 Image Classification
3:15 Fashion MNIST
16:42 CIFAR-10

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#edureka #edurekadeeplearning #tensorflow #imageclassification #deeplearning #tensorflowtutorial

About the course:

Edureka’s Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case studies.

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Objectives:

Deep Learning in TensorFlow with Python Training is designed by industry experts to make you a Certified Deep Learning Engineer. The Deep Learning in TensorFlow course offers:
In-depth knowledge of Deep Neural Networks
Comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders
Implementation of Collaborative Filtering with RBM
The exposure to real-life industry-based projects which will be executed using TensorFlow library
Rigorous involvement of an SME throughout the AI & Deep Learning Training to learn industry standards and best practices

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Why should one go for this course?

Deep Learning is one of the most accelerating and promising fields, among all the technologies available in the IT market today. To become an expert in this technology, you need structured training with the latest skills as per current industry requirements and best practices.

Besides strong theoretical understanding, you will be working on various real-life data projects using different neural network architectures as a part of the solution strategy.

Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects.

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Skills that you will be learning:

Deep Learning in TensorFlow with Python Training will help you to become a Deep Learning Engineer. It will hone your skills by offering you comprehensive knowledge on Deep Learning in TensorFlow. It will also acquaint you with the required hands-on experience for solving real-time industry-based Deep Learning projects. During this course you will be trained by our expert instructors on:

Deep Learning and TensorFlow Concepts
Working with Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)
Proficiency in Long short-term memory (LSTM)
Implementing Keras, TFlearn, Autoencoders
Implementing Restricted Boltzmann Machine (RBM)
Knowledge of Neural Networks & Natural Language Processing (NLP)
Using Python with TensorFlow Libraries
Perform Text Analytics
Perform Text Processing

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Who should go for this course?

The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are:

Developers aspiring to be a ‘Data Scientist’
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Deep Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio.

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For more information, Please write back to us at sales@edureka.co or call us at: IND: 9606058406 / US: 18338555775 (toll free)

Comments

edureka! says:

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Tensorflow Course curriculum, Visit our Website: http://bit.ly/2r6pJuI

Harshit Gupta says:

Can you please provide the source code?

Nirmana Chathurangha Wijesingha says:

Great explanation nicely presented. Thank you so much for sharing this kind of video. Can I have the code and link for this dataset, please?

sharvesh pareek says:

Hi, I loved the video.
I would like to get the code ✨

Pratik Kulkarni says:

Hi, can you please share the source code?

Aya Sakli says:

thank you for this video , could you please send me the code ?

zaid omer says:

can you please Send me the code?

YASHASWINI M R says:

Awesome video!! Could you please send me the code?

Simekani Mabambi says:

Great video, may, I please have the source code?

Madhu says:

How can I get the source code?….

farnaz farhand says:

this tutorial really help me thanks , can I have the codes to try it ?

Mirza Abdul Rehman says:

Nice work .. I need source code thanks

Werverton Freitas Gomes says:

Great video! Could you share the code with me?

Manya Dadarya says:

Thank you for the video, it's really helpful. Please share the code, if possible.

F Zheng says:

very helpful class, could you please send me the code for the video? thank you

Shiv Shukla says:

Great video can you please provide the code

Ishani Bandara says:

hello this very useful vedio.can you share this code (ishanibandara26@gmail.com)

A D Barma says:

I would like to work on the code, could you pls share it

Abimelec González says:

Hi, very thanks for this video, was very interesiting learn more about this technology, can you share me the code to my email? I will very greateful.

Rivas RA says:

Thank you for this!

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