AI & Deep Learning with TensorFlow Training

In this Training, you will learn the fundamental conception of TensorFlow, its primary functions along with its operations and its pipeline of execution. The knowledge of python is necessary for determining this course. With the help of example “Hello Word,” you will be learning how TensorFlow is used in regression, curve fitting, classification, & minimizing error functions. Youngsters who do not know python may face difficulty in understanding of the course. However, at MindMajix, we have dedicated trainers who train freshers or newcomers who do not have the knowledge of Python. All these courses will be handed over in video form so that candidates can keep on learning even when they are not in class.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Training itself is Real-time Project Oriented.

There are some Group discounts available if the participants are more than 2.

As we are one of the leading providers of Live Instructor LED training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

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Deep Learning contains algorithms, which enables the software to learn & train itself. The software is exposed to multilayered neural networks of a massive amount of data. Frequently used nowadays to perform general tasks like speech recognition in smartphones.

On Successful completion of  Training, you will be able to:

Characterize Deep Learning
State the motive of Deep Learning
Apply mathematical analysis on the data
Execute diverse Regression models
Explain Convolutional Neural Networks
Apply Convolutional Neural Networks, & Recurrent Neural Networks
Explain Recursive Neural Tensor Network Theory

Deep Learning contains algorithms, which enables the software to learn & train itself. The software is exposed to multilayered neural networks of a massive amount of data. Frequently used nowadays to perform general tasks like speech recognition in smartphones.

On Successful completion of  Training, you will be able to:

Characterize Deep Learning
State the motive of Deep Learning
Apply mathematical analysis on the data
Execute diverse Regression models
Explain Convolutional Neural Networks
Apply Convolutional Neural Networks, & Recurrent Neural Networks
Explain Recursive Neural Tensor Network Theory

Basic programming knowledge in Python
Concept of Arrays
Concepts about Machine Learning

TensorFlow has the best libraries to execute Deep Learning within new learners. The library supports numerical computation of various mathematical expressions, using its data flow charts. Nodes in flowcharts represent the operational mathematics, while edges symbolize the tensors (arrays of multidimensional data), which flows between them. TensorFlow was created by Google & customized for Machine Learning and being used to design & develop solutions

Creating image classifier by using CNN, for classifying images
Creating script generator by applying LSTM

AI & Deep Learning with TensorFlow learning trends –

Deep Learning symbolizes the real bleeding edge in Machine learning, which is one of the most exciting fields in computer science. Fundamentally it is a study of neural networks which are multi-layered, across an extensive range of architectures. Traditional neural systems cannot detect unstructured data and are composed of only one input, a hidden layer & output layer. Networks in Deep-learning differentiate themselves from these common networks by having more hidden layers known as depth.

Salaries earned by AI & Deep Learning with TensorFlow Professional are –

TensorFlow Professionals - $88,000 per year
TensorFlow Administrators - $95,000 per year
TensorFlow Software Developer- $82,000 per year

Disclaimer - This information related to salary trends of IBM Bluemix experts cannot be same everywhere. Depending on location, it can vary up to some extent.

How to be certified in AI & Deep Learning with TensorFlow Training?

After successfully going through the training and assessment you will be certified with Artificial Intelligent & Deep Learning. The certificate authorizes the professional to use the techniques for further advancement. Depending upon your expertise in Python, you can select from the following options:-

Basic AI Deep Learning Courses
Advanced AI Deep learning Course