Deep Learning Training Overview

Deep Learning is a subfield of Machine Learning (ML) that allows computers to perform tasks like human intelligence, such as speech recognition, image identification, and prediction. It permits machines to solve complex problems while using diverse, unstructured, and interconnected data sets. Deep Learning training helps individuals to improve business scalability and enhance business operations for companies across the globe.

This Deep Learning training provides in-depth knowledge of how to develop their own applications using deep learning techniques effectively. Our highly expert trainer will enable delegates to build complex Deep Learning models that help machines to solve real-world problems.

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Get your desired training by gaining immediate access to our e-learning portal of 90 days, which is accessible 24/7.

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Benefits of Onsite Training for Corporates

The biggest benefit of Onsite Training mode is having a subject matter expert at your facility, learning from their experiences into how you can help streamline your workers' time and your association's performance. With Onsite Training, corporates can approximately:

Enhance Productivity

80%

Increase Sales Growth

90%

Improve Employees Performance

90%

Enhance Employee Satisfaction

95%
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Machine Learning Vs Deep Learning

Deep Learning

  • Definition: It is a subset of Machine Learning (ML) that allows machines to perform tasks like human intelligence, such as speech recognition, image identification, and prediction.
  • Working Mechanism: Neural network helps to interpret various features of data along with their relationships - important information is processed via multiple stages of processing the data.
  • Training Time: Deep Learning takes a long time for training by recognising larger parameters.
  • Management: Deep Learning algorithms are self-directed after the implementations for result fetching and data analysis.
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Machine Learning

  • Definition: It is a sub-branch of Artificial Intelligence (AI) that allows machines to train with different datasets and predict based on their experiences.
  • Working Mechanism: It utilises automated algorithms to predict future decisions and patterns of actions based on its data.
  • Training Time: Machine Learning algorithms usually take less time for analysis, ranging from a few minutes to hours.
  • Management: Analysts organise all the analyses to evaluate different variables under the multiple datasets using ML algorithms.

Top Open Source Deep Learning Tools

  • TensorFlow: It is the most popular framework used for natural language processing, text classification, speech recognition, and translation, etc.
  • Microsoft Cognitive Toolkit: The most effective tool used for image, speech and text-based data, MCTK supports both CNN and RNN.
  • Caffe: Caffe is the most popular deep learning tool used to build machines track speed, modularity, and expression.

Techniques of Deep Learning

There are different techniques of Deep Learning that are accurate and effectively tackle problems or solve complex problems like the human brain. Following are the critical techniques of Deep Learning:

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How Deep Learning Works?

Deep Learning is a repetitive way of teaching machines to work like human intelligence through layered neural networks. A neural network consists of a set of input units where raw data is delivered. It can be like pictures, or sound samples, or written text. The inputs are then mapped to the output nodes, which determine the category to which the input information belongs.

Deep neural networks control deep learning algorithms and their several hidden layers between the input and output nodes and can solve the complex data classifications.

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Frequently Asked Questions

What is Deep Learning?

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Deep Learning is a subset of Machine Learning (ML), where artificial neural networks learn from large amounts of processed data.

What is a Deep Learning framework?

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Deep Learning frameworks provide building blocks for designing and validating deep neural networks through a high-level programming interface.

What are the types of Deep Learning networks?

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Feedforward neural network, radial basis function neural networks, multi-layer perceptron, Convolution Neural Network (CNN), recurrent neural network, modular neural network, and sequence to sequence models are the types of Deep Learning networks.

What are the features of TensorFlow?

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 It is an open-source library, easy to run, fast debugging, flexibility, abstraction, and many more are the features of TensorFlow.

What are the benefits of Deep Learning?

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Maximum utilisation of unstructured data, eliminated need for feature engineering, enhanced ability to deliver high-quality results, reduced unnecessary costs, minimum need for data labelling are the benefits of Deep Learning are benefits of Deep Learning.

What will I learn in Deep Learning training?

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During the training, you will learn introduction to Deep Learning, its importance, the difference between Deep Learning and Machine Learning, artificial neural networks, deep neural networks, linear algebra, probability, libraries and frameworks, deep generative model, etc. This training will also enable you to build complex models that help machines to solve real-world problems.

Will this course help me to get a better job with a high salary package?

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Individuals who hold Deep Learning knowledge and skills will get higher ranks in companies and get paid more than an average professional.

Can you customise training and course material according to our company requirements?

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Yes, we have subject matter experts who will work according to your company requirements.

Can The Knowledge Academy deliver the training to more than 1000 delegates of my company?

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Yes, we have already trained over 1000 delegates from multiple internationally renowned organisations. In cases where the delegates are more, we provide training in groups.

Which delivery methods I can choose for the Deep Learning training?

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You can choose from any of the below delivery methods according to your requirements:

  • Online: If you want to learn at your own pace and at any time in the day or night.
  • Online instructor-led or virtual: If you want to learn virtually from the instructor at the comfort of your home.
  • Classroom: If you want to attend training at one of The Knowledge Academy's venues.
  • Onsite/Corporate: If you are looking for a training solution for your employees at your preferred premises.

Can The Knowledge Academy deliver corporate/in-house training?

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Yes, our specialised in-house/corporate delivery staff constantly works to provide training to our clients who wish to have the convenience and comfort of learning within their familiar surroundings.

I am unable to find the course that I am looking for.

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The Knowledge Academy provides training on over 3000 different subjects. Please contact us if you are unable to find your ideal course in the above course list.