Deep Learning with Tensorflow Training and Certification

Course Overview

  • Course Rating 4.5/5

Overview

This program is about Deep Learning .

Deep Learning Training focuses on the Deep Learning Fundamentals with specification with Tensorflow Certification.

refer:

Deep Learning Training focuses on the Deep Learning Fundamentals with specification with Tensorflow Certification. .

Deep Learning corporate training and certification oriented remote program aims to upskill you with Artificial Neural Network, Tensorflow, Deep Learning, Neural network Architecture, Recurrent Neural Network, Convolutional Network

Currently due to Covid19 outbreak, the course is available remote and however it can also be accessed online via your nearby Prog360 centre based on local availability.

Course Prerequisites

Good Knowledge of Statistics, Python/R, Linux Command Line,

Course Content

    • Introduction to Deep Learning
    • Machine Learning vs Deep Learning
    • Machine Learning and RNN Concepts
      • NN and RNN
      • Backprogation
      • Long short-term memory (LSTM)
    • Introduction to Tensorflow
      • Setting up Tensoflow 2.0
      • TensorFlow 2.0 Features and Architecture
      • How Neural Networks Work
      • Using TensorFlow 2.0 to Create Deep Learning Models
      • Analyzing Data
      • Preprocessing Data
      • Building a Model
      • Implementing a State-of-the-Art Image Classifier
      • Training the Model
      • Evaluating the Model
      • Making Predictions
      • Evaluating the Predictions
      • Debugging the Model
      • Saving a Model
      • Deploying a Model to the Cloud
    • Intro to Convolutional Networks
      • CNN for Classifications
      • CNN Architecture
      • Understanding Convolutions
      • CNN with MNIST Dataset
    • Hands-on Exercises
    • Prog360 Assessment
    • Prog360 Certification

Deep Learning with Tensorflow Certifications

Deep Learning with Tensorflow course delivery involves case studies, examples, discussions and exercises to enhance the learning experience.
At the end of the training the participants will be awarded Course Completion Certificates on Deep Learning with Tensorflow.

Post Course Evaluation

You may chose to enroll for a post course evaluation to analyse your knowledge metrics. The post course evaluation would cover the topics related to the training delivered over the period of the complete session, like:

    • Machine Learning vs Deep Learning
    • Machine Learning and RNN Concepts
    • Introduction to Tensorflow
      • Setting up Tensoflow 2.0
      • TensorFlow 2.0 Features and Architecture
      • How Neural Networks Work
      • Using TensorFlow 2.0 to Create Deep Learning Models
      • Analyzing Data
      • Preprocessing Data
      • Building a Model
      • Implementing a State-of-the-Art Image Classifier
      • Training the Model
      • Evaluating the Model
      • Making Predictions
      • Evaluating the Predictions
      • Debugging the Model
      • Saving a Model
      • Deploying a Model to the Cloud
    • Intro to Convolutional Networks
      • CNN for Classifications
      • CNN Architecture
      • Understanding Convolutions
The topic listed above are only to give you a general idea and the post training evaluation may or may not restrict to these topics. Post successful evaluation attempt the participants would be awarded Evaluation Certificates on Deep Learning. Upon Completion of this Course you will accomplish following:
    • Machine Learning vs Deep Learning
    • Machine Learning and RNN Concepts
    • Introduction to Tensorflow
      • Setting up Tensoflow 2.0
      • TensorFlow 2.0 Features and Architecture
      • How Neural Networks Work
      • Using TensorFlow 2.0 to Create Deep Learning Models
      • Analyzing Data
      • Preprocessing Data
      • Building a Model
      • Implementing a State-of-the-Art Image Classifier
      • Training the Model
      • Evaluating the Model
      • Making Predictions
      • Evaluating the Predictions
      • Debugging the Model
      • Saving a Model
      • Deploying a Model to the Cloud
    • Intro to Convolutional Networks
      • CNN for Classifications
      • CNN Architecture
      • Understanding Convolutions

View All events from this course

Upcoming Sessions Near You

City
Start Date
End Date
Apply
New South Wales, Australia
26-Dec-2024
28-Dec-2024
Melbourne, Australia
26-Dec-2024
28-Dec-2024
Melbourne, Australia
12-Jan-2025
14-Jan-2025
New South Wales, Australia
12-Jan-2025
14-Jan-2025
New South Wales, Australia
25-Jan-2025
27-Jan-2025
Melbourne, Australia
25-Jan-2025
27-Jan-2025
Melbourne, Australia
11-Feb-2025
13-Feb-2025
New South Wales, Australia
11-Feb-2025
13-Feb-2025
Melbourne, Australia
24-Feb-2025
26-Feb-2025
New South Wales, Australia
24-Feb-2025
26-Feb-2025

Deep Learning with Tensorflow Corporate Training

Corporate Training

Prog360 offers on-demand corporate learning and development solutions around Deep Learning that can be delivered both onsite and remote (based on availability). With Prog360, you can train your employees with our 360 Approach which not only enhance professional skills but also improvise inter-personal development. Please feel free to inquire further. We are open to discuss your requirement to provide you more customized solution specific to your needs. We will evaluate the skillset, analyze the business requirement and post that provide customized training solutions as per your business needs. Our corporate team for Deep Learning training is based across the globe hence you can reach us nearby your region as well. For general training inquiries you can contact us at training@prog360.com.

Deep Learning with Tensorflow Consultation

Consultation

If you have already up-skilled your team and have started implementing Deep Learning, but are still facing challenges, Prog360 can still help you. Our SMEs can get on a call with you to understand the situation and provide you a plan involving the next steps covering both audit and implementation based on your problem statement. Our corporate team for Deep Learning consultation is based across the globe hence you can reach us nearby your region as well. For general consultation inquiries you can contact us at consult@prog360.com . For more nearby inquiries you can reach your nearby team.

South East Asia and Oceania

Oceania: Melbourne, Australia: 152 Elizabeth St,Melbourne,VIC,Melbourne,

Corporate Training: training.au@prog360.com

Consulting Services: consult.au@prog360.com

South East Asia: Singapore: 5, Temasek Boulevard, Singapore, Central Region, 03898, Singapore

Corporate Training: training.sg@prog360.com

Consulting Services: consult.sg@prog360.com

Contact Number :- +61 3 9015 4952

South Asia and Middle East

South Asia: Bengaluru, India: No. 78, Next to KR Puram Tin Factory, Old Madras Road, Bangalore – Mahadevapura, Bengaluru, Karnataka, 560016

Corporate Training: training.southasia@prog360.com

Consulting Services: consult.southasia@prog360.com

Middle East:- Dubai, UAE: The Offices 4, One Central Dubai World Trade Center, Dubai, Dubai, 00000, UAE

Corporate Training: training.ae@prog360.com

Consulting Services: consult.ae@prog360.com

Contact Number :- +91 9810 643 989

For any Queries

Testimonials & Reviews

The Deep Learning with Tensorflow training was excellent. The course covered essential deep learning concepts and practical applications using Tensorflow.
Jatin Patel
Excellent Tensorflow Course
Effective training on deep learning with Tensorflow. The course provided a solid foundation with practical examples and hands-on labs.
Ravi Singh
Effective Deep Learning Training
Solid deep learning training course with Tensorflow. The practical labs and instructor’s approach made the learning experience very effective.
Ankit Mehta
Solid Tensorflow Course
Comprehensive Tensorflow training with a focus on practical applications. The course was well-organized and the hands-on labs were very helpful.
Jai Sharma
Comprehensive Tensorflow Training
Great course for Tensorflow certification. The practical exercises and detailed explanations made learning deep learning concepts easier.
Clara Chen
Great Tensorflow Certification
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