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Deep Learning with TensorFlow 2.0 Certification Training in Hartford, CT

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    • Learn and get certified in Deep Learning with TensorFlow 2.0 from the comfort of your home and transform your career

    • Curated by industry experts, the course will help you master popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python

    • Deep Learning with TensorFlow 2.0 Certification training with Hands-on practice with Google Colab notebook

    • We guarantee great value at the lowest price in the industry

  • Training Delivery
  • Skill Level
  • Enrolled 19587 students
35 students
Online Self-Learning
  • Anytime, Anywhere: Learn whenever it is convenient to you
  • Learn through high quality presentations, quizzes, recordings of live classes; installation guide available in LMS
  • Course content created using real life case studies and live project
  • 24x7 customer support through email and ticket-based
  • Lifetime access to online Learning Management System (LMS)
USD 299 179
40

Deep Learning with TensorFlow 2.0 Overview

Encertify's Deep Learning with TensorFlow 2.0 course will help you master popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. You will be also be offered the opportunity to work on various real-time projects like Emotion and Gender Detection, Auto Image Captioning using CNN and LSTM, and many more.

After completing this course, you should be able to:

  • Get yourself introduced and trained with TensorFlow 2.0.
  • Understand the concept of Single-Layer and Multi-Layer Perceptron by implementing them in Tensorflow 2.0
  • Learn about the working of CNN algorithm and classify the image using the trained model
  • Grasp the concepts on important topics like Transfer Learning, RCNN, Fast RCNN, RoI Pooling, Faster RCNN, and Mask RCNN
  • Understand the concept of Boltzmann machine and Auto Encoders
  • Implement Generative Adversarial Network in TensorFlow 2.0
  • Work on the Emotion and Gender Detection project and strengthen your skill on OpenCV and CNN
  • Understand the concept of RNN, GRU, and LSTM
  • Perform Auto-Image Captioning using CNN and LSTM
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Deep Learning with TensorFlow 2.0 Course Topics

  • What is Deep Learning?
  • Curse of Dimensionality
  • Machine Learning vs. Deep Learning
  • Use cases of Deep Learning
  • Human Brain vs. Neural Network
  • What is Perceptron?
  • Learning Rate
  • Epoch
  • Batch Size
  • Activation Function
  • Single Layer Perceptron
  • Introduction to TensorFlow 2.x
  • Installing TensorFlow 2.x
  • Defining Sequence model layers
  • Activation Function
  • Layer Types
  • Model Compilation
  • Model Optimizer
  • Model Loss Function
  • Model Training
  • Digit Classification using Simple Neural Network in TensorFlow 2.x
  • Improving the model
  • Adding Hidden Layer
  • Adding Dropout
  • Using Adam Optimizer
  • Image Classification Example
  • What is Convolution
  • Convolutional Layer Network
  • Convolutional Layer
  • Filtering
  • ReLU Layer
  • Pooling
  • Data Flattening
  • Fully Connected Layer
  • Predicting a cat or a dog
  • Saving and Loading a Model
  • Face Detection using OpenCV
  • Regional-CNN
  • Selective Search Algorithm
  • Bounding Box Regression
  • SVM in RCNN
  • Pre-trained Model
  • Model Accuracy
  • Model Inference Time
  • Model Size Comparison
  • Transfer Learning
  • Object Detection – Evaluation
  • mAP
  • IoU
  • RCNN – Speed Bottleneck
  • Fast R-CNN
  • RoI Pooling
  • Fast R-CNN – Speed Bottleneck
  • Faster R-CNN
  • Feature Pyramid Network (FPN)
  • Regional Proposal Network (RPN)
  • Mask R-CNN
  • What is Boltzmann Machine (BM)?
  • Identify the issues with BM
  • Why did RBM come into the picture?
  • Step by step implementation of RBM
  • Distribution of Boltzmann Machine
  • Understanding Autoencoders
  • Architecture of Autoencoders
  • Brief on types of Autoencoders
  • Applications of Autoencoders
  • Which Face is Fake?
  • Understanding GAN
  • What is Generative Adversarial Network?
  • How does GAN work?
  • Step by step Generative Adversarial Network implementation
  • Types of GAN
  • Recent Advances: GAN
  • Where do we use Emotion and Gender Detection?
  • How does it work?
  • Emotion Detection architecture
  • Face/Emotion detection using Haar Cascade
  • Implementation on Colab
  • Issues with Feed Forward Network
  • Recurrent Neural Network (RNN)
  • Architecture of RNN
  • Calculation in RNN
  • Backpropagation and Loss calculation
  • Applications of RNN
  • Vanishing Gradient
  • Exploding Gradient
  • What is GRU?
  • Components of GRU
  • Update gate
  • Reset gate
  • Current memory content
  • Final memory at current time step
  • What is LSTM?
  • Structure of LSTM
  • Forget Gate
  • Input Gate
  • Output Gate
  • LSTM architecture
  • Types of Sequence-Based Model
  • Sequence Prediction
  • Sequence Classification
  • Sequence Generation
  • Types of LSTM
  • Vanilla LSTM
  • Stacked LSTM
  • CNN LSTM
  • Bidirectional LSTM
  • How to increase the efficiency of the model?
  • Backpropagation through time
  • Workflow of BPTT
  • Auto Image Captioning
  • COCO dataset
  • Pre-trained model
  • Inception V3 model
  • Architecture of Inception V3
  • Modify last layer of pre-trained model
  • Freeze model
  • CNN for image processing
  • LSTM or text processing

Deep Learning with TensorFlow 2.0 Certification & Exam

Towards the end of the course, you will work on a project involving Deep Learning with TensorFlow 2.0. On successful completion of the project, you will be certified as a "Deep Learning Engineer".

Why Choose Us

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More than 12000 satisfied learners have taken this course on Deep Learning.

Low Cost

Without compromising on quality, we have priced our Deep Learning with TensorFlow 2.0. certification courses very competitively. We guarantee that you will find us more economical than any other training provider.

Unmatched Quality

We along with our affiliate partners are dedicated in creating the best quality study materials and student experience across our products. All content complies with quality conformance standards to ensure that our content is the best and free of any errors.

Course Design

Based on years of experience in delivering effective professional training, our courses are designed not only to provide you the Deep Learning certification, but also to empower with best practices. We achieve this by providing a unique blend of concepts, case studies, and simulations that guarantee our students know how to implement Deep Learning concepts in real life.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

Customer Satisfaction

We are here to ensure you get heard 24/7, and to take care of every single questions and doubts you have. Our dedicated support team will provide you best in class round the clock customer support. Superior customer service is the hallmark of our company and we always go the extra mile to satisfy each of our customers whether an individual or a corporate client.

Deep Learning with TensorFlow 2.0 Frequently Asked Questions

The orientation class/session covers the overall course curriculum and any installation (if applicable). This will prepare you for the subsequent program, which will start next week.

Please click on the "ENROLL" button against the course you wish to enroll for. You need to provide your details (Name, Email ID, etc) and pay the course fee.

Payments can be made using global payment gateways such as PayPal, Stripe or PayUmoney. You can register and pay for a course online with most of the globally accepted Credit or Debit Cards.

Yes, we do offer additional discounts to group and corporate training customers. Please get in touch with us by email ([email protected]) to find out more about our group discount offerings.

Use the "Drop a query"section in this page or check "Contact Us" section. Alternatively, please send an email to [email protected] to find out more about our course offerings.

We strongly recommended to continue with one mode of training for better learning experience. However, in case situation demands, you can switch mode of training upon availability of respective courses with other training modes. Check with our team well in advance for any change request to avoid logistics and operational inconvenience.

If you're between jobs and have been unemployed for last the 6 months, or you're a student taking a course for career growth, we do provide additional discounts for you on selected courses. Please email [email protected] to avail this benefit and discount coupon.

Note: These discounts are available on selected courses, have a limited number and on a first-come-first-serve basis.

Yes, we do provide additional discounts for military veterans on selected courses. Please email [email protected] for more details.

Firstly, we recommend you to check your spam folder, since the confirmation emails land up in spam sometimes. If you have not received any email on payment confirmation, or respective course details even in your spam folder, please email [email protected] for a quick resolution.

Please refer to the Cancellation Policy and Refund Policy.

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