Neural Networks with Deep Learning Training Overview

Course syllabus

Who it’s for

What’s included

FAQs

Neural Networks with Deep Learning Training Course Outline

Module 1: Introduction to Neural Networks

  • Introduction to Neural Networks
  • Supervised Learning with Neural Networks

Module 2: Neural Networks Fundamentals

  • Binary Classification
  • Logistic Regression
  • Gradient Descent and Derivatives
  • Computational Graph
  • Vectorisation
  • Introduction to Python
  • Jupyter/IPython Notebooks

Module 3: Shallow Neural Networks

  • Representation of a Neural Networks
  • Computing the Output of a Neural Network
  • Vectorised Implementation
    • Feed Forward
    • Back Propagation
  • Hidden Layer
  • Activation Functions
  • Gradient Descent for Neural Networks

Module 4: Deep Neural Networks

  • Deep L-Layer Neural Network
  • Forward Propagation
  • Computational Graphs
  • Backward Propagation
  • Neural Networks Training
  • Deep Representations
  • Building Blocks
  • Difference Between Parameters and Hyperparameters
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Who should attend this Neural Networks with Deep Learning Training Course?

The Neural Networks with Deep Learning Course is designed for individuals working in data science, artificial intelligence, and related fields who wish to deepen their understanding and practical skills in deep learning. The following are some professionals for whom this course can be beneficial:

  • Data Scientists
  • AI Engineers
  • Software Developers
  • Machine Learning Engineers
  • Researchers
  • Analysts
  • IT Professionals

Prerequisites of the Neural Networks with Deep Learning Training Course

There are no formal prerequisites for this Neural Networks with Deep Learning Course. However, a basic understanding of programming and familiarity with machine learning concepts would be beneficial.

Neural Networks with Deep Learning Training Course Overview

Deep Learning is a subset of Artificial Intelligence (AI) that focuses on algorithms inspired by the structure and function of the human brain's neural networks. It's pivotal in revolutionising industries like healthcare, finance, and technology by enabling machines to learn from data, recognise patterns, and make intelligent decisions autonomously.

Proficiency in Deep Learning is crucial for Data Scientists, AI Engineers, Software Developers, and Researchers. Mastering this field empowers professionals to create innovative image and speech recognition solutions, natural language processing, autonomous vehicles, and predictive analytics. It is essential for those aiming to stay competitive and drive technological advancements across various industries.

This intensive 1-day course equips delegates with fundamental concepts and practical skills in deep learning. Through hands-on workshops and expert-led sessions, delegates comprehensively understand neural networks, convolutional and recurrent neural networks, and their applications. Delegates learn to implement deep learning models, interpret results, and optimise algorithms for diverse real-world scenarios.

Course Objectives

  • To understand the foundational principles of neural networks
  • To explore various deep learning architectures, including CNNs and RNNs
  • To apply Deep Learning algorithms in image and speech recognition tasks
  • To analyse and interpret profound learning model results effectively
  • To optimise and fine-tune neural networks for improved performance
  • To comprehend ethical considerations in deploying deep learning solutions

Upon completing this course, delegates will have acquired the knowledge and skills necessary to implement and optimise deep learning models using TensorFlow, making them invaluable assets in their professional fields.

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What’s included in this Neural Networks with Deep Learning Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Neural Networks with Deep Learning Certificate
  • Digital Delegate Pack
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Train Your Workforce

Looking for Neural Networks with Deep Learning Training in-house or onsite training in New Delhi? We specialise in corporate group training and bulk bookings for organisations of all sizes in New Delhi. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

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To make sure you’re always connected we offer completely free and easy to access wi-fi.

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To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

New Delhi is one of the districts within Delhi, as well as it being the capital city of India, it is also the home to the Government of the National Capital Territory of Delhi and some of the branches of the Government of India, these being the judiciary, executive and legislative branches and is also home to around 249,998 people. The capital of India - New Delhi was initiated within 1931 by Viceroy Lord Irwin however formed during 1911 by George V, who was the King of the United Kingdom as well as the Emperor of India and his British architects Sir Herbert Baker and Sir Edwin Lutyens formed the foundation stone and announced the capital city of India would be changed. The primary schools and secondary schools within New Delhi are either run privately or by the government and as of 2004 to 2005 there was around 1.5 million students going through the educational system within 2416 primary schools, 822,00 students in 715 middle schools and 669,000 students in 1576 secondary schools and around 500,000 students within 165 universities and colleges. All universities are either state, deemed or central universities, The top universities within New Delhi are the Jamia Millia Islamia, the University of Delhi, Indian Statistical Institute, National Law University, Jawaharlal Nehru University, Guru Gobind Singh Indraprastha University, Ambedkar University Delhi, Jamia Hamdard, Delhi Technological University – which is the first Engineering college within Delhi and one of the oldest in India, the Indira Gandhi National Open University is the largest national university in the world with over 4 million students, New Delhi is also home to the Indian Agricultural Research Institute, Pusa, New Delhi, Premier institute for agricultural research and education in India. The university courses and programs can offer different types of degrees such an undergraduate and post graduate courses, Bachelor courses and Scholarships, New Delhi prides itself on its premier institutions as the teaching and researching they do means that within 2011 the census recorded the literacy rate for females as 80.9% and for males it was slightly higher at 91.0% with an overall literacy rate of 86.3%. Subjects within the different universities can include, social sciences, engineering, humanities, technology, sports, law, social work, arts, management, education, computer information technology, foreign languages, mathematical science, dentistry and medical. 

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Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Neural Networks with Deep Learning Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Learn Neural Networks with Deep Learning Training through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

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Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Experience the most sought-after learning style with The Knowledge Academy's Neural Networks with Deep Learning Training Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Neural Networks with Deep Learning Training sessions.

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Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Neural Networks with Deep Learning Training Course at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Package deals for Neural Networks with Deep Learning Training in New Delhi

Our training experts have compiled a range of course packages on a variety of categories in Neural Networks with Deep Learning Training, to boost your career. The packages consist of the best possible qualifications with Neural Networks with Deep Learning Training, and allows you to purchase multiple courses at a discounted rate.

Neural Networks With Deep Learning Training Course in New Delhi FAQs

What is a Neural Network?

A neural network is a computational model inspired by the human brain, used for tasks like classification, prediction, and pattern recognition.

What is Supervised Learning with Neural Networks?

Supervised learning involves training a neural network on labelled data, where the model learns to predict outcomes based on input-output pairs.

What is Binary Classification?

Binary classification is a type of supervised learning where the goal is to classify data into two distinct categories.

What is Logistic Regression in Neural Networks?

Logistic regression is a method used to model the probability of a binary outcome using a logistic function.

What is Gradient Descent?

Gradient descent is an optimisation algorithm used to minimize the error by adjusting the weights of the neural network through iterative updates.

What is a Computational Graph?

A computational graph is a visual representation of mathematical operations that show the flow of data and computations in a neural network.

What is Vectorisation in Neural Networks?

Vectorisation refers to the process of converting operations into matrix or vector form to improve computational efficiency, especially in deep learning.

What is Back Propagation in Neural Networks?

Back propagation is a method used to adjust the weights of a neural network by calculating the gradient of the loss function with respect to each weight.

What are Activation Functions?

Activation functions introduce non-linearity into the model, helping the network learn complex patterns and making it capable of solving more complex problems.

What is the Difference Between Parameters and Hyperparameters?

Parameters are the weights and biases learned during training, while hyperparameters are configuration settings (e.g., learning rate, number of layers) set before training begins.

What is the cost/training fees for Neural Networks with Deep Learning Training in New Delhi?

The training fees for Neural Networks with Deep Learning Training in New Delhi starts from INR284995

Which is the best training institute/provider of Neural Networks with Deep Learning Training in New Delhi?

The Knowledge Academy is one of the Leading global training provider for Neural Networks with Deep Learning Training.

What are the best Artificial Intelligence Courses courses in New Delhi?

Please see our Artificial Intelligence Courses courses available in New Delhi

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