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Deep Learning Course with TensorFlow Online Training

(112 Ratings) 542 Subscribers

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$ 599 $ 370
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Includes:
  • 45 hrs interactive session
  • Live Instructor
  • Virtual classroom
  • Study Materials
  • Resume & Interview preparation

Career Opportunities

The average salary of Deep Learning with TensorFlow professionals is $120,000 per year. The pay scale will further go high with a professional's industry standards and expertise.
Deep Learning with TensorFlow is a well-adopted machine learning technique in the current industry with 1000+ jobs available in India.
Top companies like Google, Uber, Intel, Facebook, Walmart, Adobe, are utilizing Deep Learning with TensorFlow.
Deep Learning with TensorFlow has a bright career with various job roles like Data Scientist, Deep Learning Engineer, Machine Learning Engineer, NLP Developer, Computer Vision Engineer, ML & NLP Engineer, and much more.

Curriculum

Section 1: Introduction to Deep Learning
  • Deep Learning: A revolution in Artificial Intelligence
  • Limitations of Machine Learning
  • What is Deep Learning?
  • Advantage of Deep Learning over Machine learning
  • 3 Reasons to go for Deep Learning
  • Real-Life use cases of Deep Learning
  • Review of Machine Learning: Regression, Classification, Clustering, Reinforcement Learning, Underfitting and Overfitting, Optimization
Section 2: Understanding Neural Networks with TensorFlow
  • How Deep Learning Works?
  • Activation Functions
  • Illustrate Perceptron
  • Training a Perceptron
  • Important Parameters of Perceptron
  • What is TensorFlow?
  • TensorFlow code-basics
  • Graph Visualization
  • Constants, Placeholders, Variables
  • Creating a Model
  • Step by Step - Use-Case Implementation
Section 3: Deep dive into Neural Networks with TensorFlow
  • Understand limitations of a Single Perceptron
  • Understand Neural Networks in Detail
  • Illustrate Multi-Layer Perceptron
  • Backpropagation – Learning Algorithm
  • Understand Backpropagation – Using Neural Network Example
  • MLP Digit-Classifier using TensorFlow
  • TensorBoard
Section 4: Master Deep Networks
  • Why Deep Networks
  • Why Deep Networks give better accuracy?
  • Use-Case Implementation on SONAR dataset
  • Understand How Deep Network Works?
  • How Backpropagation Works?
  • Illustrate Forward pass, Backward pass
  • Different variants of Gradient Descent
  • Types of Deep Networks
Section 5: Convolutional Neural Networks (CNN)
  • Introduction to CNNs
  • CNNs Application
  • Architecture of a CNN
  • Convolution and Pooling layers in a CNN
  • Understanding and Visualizing a CNN
Section 6: Recurrent Neural Networks (RNN)
  • Introduction to RNN Model
  • Application use cases of RNN
  • Modelling sequences
  • Training RNNs with Backpropagation
  • Long Short-Term Memory (LSTM)
  • Recursive Neural Tensor Network Theory
  • Recurrent Neural Network Model
Section 7: Restricted Boltzmann Machine (RBM) and Autoencoders
  • Restricted Boltzmann Machine
  • Applications of RBM
  • Collaborative Filtering with RBM
  • Introduction to Autoencoders
  • Autoencoders applications
  • Understanding Autoencoders
Section 8: Keras API
  • Define Keras
  • How to compose Models in Keras
  • Sequential Composition
  • Functional Composition
  • Predefined Neural Network Layers
  • What is Batch Normalization
  • Saving and Loading a model with Keras
  • Customizing the Training Process
  • Using TensorBoard with Keras
  • Use-Case Implementation with Keras
Section 9: TFLearn API
  • Define TFLearn
  • Composing Models in TFLearn
  • Sequential Composition
  • Functional Composition
  • Predefined Neural Network Layers
  • What is Batch Normalization
  • Saving and Loading a model with TFLearn
  • Customizing the Training Process
  • Using TensorBoard with TFLearn
  • Use-Case Implementation with TFLearn
Section 10: Real-time project
  • Deep Learning with TensorFlow project environment setup in SparkDatabox Lab
  • Real-time Deep Learning with TensorFlow project
  • Project demonstration
  • Expert evaluation and feedback
Section 11: You made it!!
  • Spark Databox Deep Learning Tensor Flow certification
  • Interview preparation
  • Mock interviews
  • Resume preparation
  • Knowledge sharing with industry experts
  • Counseling to guide you to a right path in Deep Learning with TensorFlow career

About Deep Learning with TensorFlow Online Training Course

Spark Databox's Deep Learning with TensorFlow training course has been designed by industry experts and is supported by the most advanced best practices to mold you as an expert in deep learning. In this course, you will learn to comprehend deep learning concepts along with the TensorFlow framework. You will also learn to perform deep learning algorithms, develop artificial neural networks, and cover concepts of data abstraction to experience the potential of data and equip you for a bright career in deep learning.

Spark Databox Deep Learning with TensorFlow training will make you a Data Scientist by furnishing you with productive hands-on training on Deep Learning with TensorFlow. This course will act as the first step for your Data Science campaign, where you will receive the opportunity to work on many Deep Learning projects.

You will gain hands-on practical experience developing your own state-of-the-art model algorithm and other deep learning paradigms. You will also apply these TensorFlow models in real-life scenarios including, browsers, cloud, and even in mobile devices. Eventually, you will utilize superior techniques and algorithms to operate with massive datasets. Upon the completion of this course, you will be well versed with all the required skills to develop
your own application.

The Deep Learning with TensorFlow Training course will:
Offer you the full-fledged knowledge of Deep Learning and Deep Neural Networks
Provide you with extensive knowledge of multiple Neural Network designs like Convolutional Neural Network, Recurrent Neural Network, Autoencoders
You will understand the deployment of Collaborative Filtering with (restricted Boltzmann machine (RBM), an artificial neural network for machine learning of credibility distributions. 
Provide with exposure to real-time projects that are accomplished utilizing TensorFlow library
Meticulous engagement of an SME during the AI & Deep Learning Training to acquire industry criteria and best practices

Deep Learning is one of the most fast-growing and optimistic sectors, among all the technologies available in today's IT industry. To grow as an expert in Deep Learning with TensorFlow, you require an organized training structure with the most advanced facilities as per modern industry demands along with best practices. Beyond firm theoretical knowledge, you will be accomplishing several real-time projects using distinct neural network designs as a piece of the solution procedure.

Upon the completion of the Deep Learning with TensorFlow course, you will be capable of performing the following skill sets:
Learn the overall concepts, primary functions, procedures, and the execution of TensorFlow
Executing deep learning algorithms, learning neural networks and cross the levels of data abstraction that will enable you to understand the data completely
Comprehend high-level concepts like convolutional & recurrent neural networks, deep networks, and advanced interfaces
Develop deep learning paradigms in TensorFlow and evaluate the outcomes
Understanding the basic concepts of artificial neural networks and required language 
Troubleshoot and promote deep learning paradigms
Discover the discrimination of deep learning, machine learning, and artificial intelligence
Develop your own deep learning application

Deep Learning with TensorFlow course is ideal for: 
Software engineers
Analytics Professionals
Data scientists
Business Analysts
Data analysts
Students who are aspiring to make a career in Deep Learning

One should have basic programming knowledge, a good understanding of statistics and mathematics, which will be highly beneficial to go forward with the course. 

Introduction to Deep Learning with TensorFlow online course

Grow as a master in neural networks, and acquire to execute them utilizing the deep learning framework with TensorFlow. Establish convolutional networks for recognition of image, recurrent networks, and generative adversarial networks for image creation and explore how to deploy patterns from a website.

TensorFlow has become the most popular open-source Deep Learning library from Google. It helps to make the computing load more manageable and more active for applications of deep learning and machine learning. TensorFlow is mostly applied while developing neural networks and facilitates the means of obtaining the data you require for practice. It is proficient in expediting the varieties of high-level statistical computation needed to reach the deep learning patterns for large scale machine learning. 

Deep learning, also known as Deep neural network, is a part of machine learning in artificial intelligence (AI), which holds networks proficient in acquiring unsupervised data that is unorganized or unlabeled.

Deep learning has emerged, holding its hands with the digital world that has explored the data of different forms around the globe. This data is also known as big data, which is pulled from various sources like search engines, social media, e-commerce platforms, online cinemas, etc. This huge volume of data is readily available and can be distributed over fintech applications, the same as cloud computing.

Deep Learning with TensorFlow is an open-source; free tool which will benefit individual professional and those who are choosing this platform from Online Training course provider. If you are attracted towards the Deep learning and desire to build a career in this field, then you have to this Deep Learning with TensorFlow training courses.

Deep Learning with TensorFlow Exam & Certification

At the end of the Deep Learning with TensorFlow online training course, candidates are supposed to work in a real-time project with good results to receive the course completed certification. If the candidates fail to deliver good results on a real-time project, we will assist them by the solution for their doubts and queries and support reattempting the project. 

If you slip in the first attempt, you can retake the exam after 30 days by paying the reattempt fees.

Yes, you can withdraw your enrollment if required. We will refund the course payment after deducting the administration fee.

You will receive Spark Databox globally certified Deep Learning with TensorFlow online course completion certification.

You can receive in-depth knowledge of Deep Learning with TensorFlow technology, and it confirms your technical skills on the deployment and management of Deep Learning with TensorFlow tool. These certifications will be highly beneficial for those who are aiming to improve their knowledge and career to the succeeding levels with handsome salaries.

Deep Learning with TensorFlow Job Opportunities

Once you are certified with the Deep Learning with TensorFlow Online Courses certification, you will have an abundance of career opportunities from which you can grasp with Spark Databox placement support rendered by the trainers as a part of the course training.


Complete hands-on real-time project training
40+ hours of course duration
Self-paced training
10 to 15 years of Industry expert faculties
100?reer-oriented training
Certification supervision
Own training course materials
Resume building
Placement Support
Affordable fees structure

You will be provided placement and resume building assistance in Spark Databox. Upon successful completion of the course, candidates will be awarded a course completion certificate along with the certificate of practical training Achievement from Spark Databox. With industry partners on-board, we will ensure you have all the support you require to secure a job.

Upcoming Batches

Start Date End Date Time (EST) (UTC - 5) Day
13-Dec-19 10-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat
14-Dec-19 11-Jan-20 (09:30 PM - 12:00 AM) Sat-Sun
16-Dec-19 13-Jan-20 (09:30 PM - 11:00 PM) Mon-Fri
17-Dec-19 14-Jan-20 (09:30 PM - 11:00 PM) Tue-Sat
20-Dec-19 17-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat

Note : We can arrange classes on different timings up on customer request. Please call us to schedule classes as per your convenient timings. We can arrange one to one training up on customer request.

Reviews

The instructors of Spark Databox are excellent, and their customer assistance is exceptional. I had an amazing experience throughout the course. I took the Deep Learning with TensorFlow course, and the content was comprehensive. My instructor had an abundance of experience in the field he was teaching. He had answers to every question we had asked. I will definitely take further courses with them, and I have suggested Spark Databox to many of my colleagues. Excellent Job! Spark Databox.

Manoj Shankaran
Data Scientist

I have taken Deep Learning with TensorFlow course from Spark Databox. They have complete material equipped professionally by highly qualified professionals, and their Training management practice is very ingenious. All the links and practical tools work great. Instructors for the courses are really good and are very receptive to their students'.

Suman Guru
Data Scientist

I have been in association with Spark Databox courses for nearly a year now, mainly related to Big Data and Data analytics. These courses have supported me in obtaining a competitive edge of knowledge, which is highly required at the job. Also, their courses include a magnitude of subjects and span from computer programming languages to Data Visualization. And you can contact their support staff for assistance at any time. I noticed the instructors were very competent, and all the courses that I registered in were presented in a very professional and detailed way. I will recommend Spark Databox without any hesitation.

Dinesh Dubey
Program Manager

Very helpful courses that are covering every essential topics. Great session tone and lecture notes. I learned a lot, and i will definitely do not miss joining the classes anymore. I will surely stay in touch with Spark Databox and my instructor. I would also like to convey my hearty thanks to the Spark Databox team for their prompt support that is open 24/7.

Kamlesh Sharma
Data Scientist

I found the Deep Learning with TensorFlow course from Spark Databox to be inclusive, and useful. The course instructor had a wealth of knowledge and managed the class very well in getting it interactive, retaining the interest, and answering all questions. The staff assistance was great as well, and they supported me remotely when I found a problem with the subjects even after the course was completed. Overall, I highly recommend Spark Databox.

Himesh Kumar
Data Scientist

Let me start by congratulating the Spark Databox team for collectively putting together such excellent content for their courses. I am enrolled in their self paced live course batches, with a remarkable learning experience. I tried learning Deep Learning with TensorFlow on my own, but in every effort, i beat a sluggish performance. However, I learned Deep Learning with TensorFlow from the very best through Spark Databox. The instructors had a great experience, and it reflected in his professional post-lecture, assignments, and projects. I am a long-standing member of Spark Databox and will continue to learn from them.

Sameema Rose
Data Scientist

My experience with Spark Databox about Deep Learning with TensorFlow is very comprehensive. We gain access to each class recorded sessions after the live class. Spark Databox is very responsive to the queries of the customer. Online recording of the course is very beneficial as you can move back and refer at any possible time. I thank Spark Databox for providing such great support. Thanks guys!

Jsimala Grace
Business Intelligence developer

Thanks for the prompt response and for solving the subject issue. I was very surprised by your 24/7 support, even in the festive time. I appreciate your support, service, and the trainer for Deep learning is very helpful, and we have learned the subject productively. Thanks Spark Databox.

Comal Sharma
Data Scientist

Taking courses with Spark Databox has been a bizarre and fulfilling experience. The contents of the course are up-to-date, and the instructors are well trained and hard working. Spark Databox redefines the style online training is managed by presenting it as professional and feasible, with complete attention and detailing, packed into the unique practical classrooms. Thank you Spark Databox!

Vishnu Vardhan
Solution Architect

I have attended Spark Databox Deep Learning with TensorFlow course. It is very appealing, and the course structure is perfect. And the best part is, even before the course starts, you will have access to previous sessions that is very helpful to understand the course topics and features. If not, your expected topics can also be covered during the live sessions. Spark Databox is a unique one that has progressed as a sound professional training provider. Great job!!!

Abishek Anand
Associate Manager

FAQs

Every training session will be recorded, and access will be provided to all the videos on Spark Databox's state-of-the-art course training system. You can watch the recorded sessions at your own time and convenience. Or you have the other option to grasp the dropped session in any different live batch.
All of our profoundly qualified trainers are industry experts with years of consistent teaching experience. Each of our mentors has gone through a meticulous selection method, which includes profile screening, professional evaluation, and a training class demo before they are approved for the training session. We also assure that only those trainers with high alumni rank continue to train candidates.
Our coaching assistants are well-experienced partners of industry experts to support you get accredited in your first endeavor. They involve learners to take part actively to assure the candidates are successfully following the course sessions to help enhance your learning activity, from class onboarding to project training and job assistance.