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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:
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.
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
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
You will receive Spark Databox globally
certified Deep Learning with
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.
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
10 to 15 years of Industry expert faculties
Own training course materials
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.
|Start Date||End Date||Time (EST) (UTC - 5)||Day|
|24-Feb-20||23-Mar-20||(09:30 PM - 11:00 PM)||Mon-Fri|
|25-Feb-20||24-Mar-20||(09:30 PM - 11:00 PM)||Tue-Sat|
|28-Feb-20||27-Mar-20||(09:30 PM - 12:00 AM)||Fri-Sat|
|29-Feb-20||28-Mar-20||(09:30 PM - 12:00 AM)||Sat-Sun|
|02-Mar-20||30-Mar-20||(09:30 PM - 11:00 PM)||Mon-Fri|
|03-Mar-20||31-Mar-20||(09:30 PM - 11:00 PM)||Tue-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.