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Deep Learning Fundamentals

by

Guvi

Welcome to our transformative course, *Deep Learning Fundamentals,* where we don’t just teach deep learning; we sculpt future innovators in the dynamic world of artificial intelligence. In the world of AI, Deep Learning stands as the crown jewel of sought-after skills. This course is your key to unravelling the mysteries behind artificial neural networks (ANNs) and harnessing their potential. Whether you’re a beginner eager to understand the foundations or an enthusiast ready to lead machine learning projects & brush up on the fundamentals, this course is for everyone!
1499.00
2000.00
25.05% Discount

#1

See all ranking

Deep Learning Fundamentals

by

Guvi

Welcome to our transformative course, *Deep Learning Fundamentals,* where we don’t just teach deep learning; we sculpt future innovators in the dynamic world of artificial intelligence. In the world of AI, Deep Learning stands as the crown jewel of sought-after skills. This course is your key to unravelling the mysteries behind artificial neural networks (ANNs) and harnessing their potential. Whether you’re a beginner eager to understand the foundations or an enthusiast ready to lead machine learning projects & brush up on the fundamentals, this course is for everyone!
1499.00
2000.00
25.05% Discount

#1

See all ranking

4 Modules

with Certifications

4+ Hours

of Recorded Content

4.5 Rated

by 2003 Learners

English

Language

4 Modules

with Certifications

4 + Hours

of Recorded Content

4.5 Rated

by 2003Learners

Read all Reviews

English

Language

What's in it for You?

As you enrol in the *Deep Learning Fundamentals* course, you’ll gradually elevate your expertise from grasping the foundational concepts to becoming a proficient neural network architect. Gain hands-on experience by coding perceptrons and multi-layer perceptrons using Python, Numpy, and Tensorflow. Understand the nuances of activation functions, unravel the training processes, and master backpropagation mechanisms. By the course’s culmination, you’ll confidently tackle real-world challenges through immersive capstone projects, showcasing your skills in regression and image classification using Tensorflow. Acquire a robust understanding of optimizers, from traditional Gradient Descent to advanced techniques like Adam, setting the stage for your ascent in the realm of deep learning.
As you enrol in the *Deep Learning Fundamentals* course, you’ll gradually elevate your expertise from grasping the foundational concepts to becoming a proficient neural network architect. Gain hands-on experience by coding perceptrons and multi-layer perceptrons using Python, Numpy, and Tensorflow. Understand the nuances of activation functions, unravel the training processes, and master backpropagation mechanisms. By the course’s culmination, you’ll confidently tackle real-world challenges through immersive capstone projects, showcasing your skills in regression and image classification using Tensorflow. Acquire a robust understanding of optimizers, from traditional Gradient Descent to advanced techniques like Adam, setting the stage for your ascent in the realm of deep learning.

Key Features:

Globally Recognised Certification
100% online and Self-paced learning
Full lifetime access to all content
Access to 4 Gamified Practise Platforms
Dedicated Forum Support to clear all your doubts
7 Days refund Policy

Topics you will learn

  • Beginner Module

      • Intro to Deep Learning
      • History of Deep Learning
      • Types of NN, Applications
      • Environment Setup, colab & Kaggle Intro

  • Intermediate Module

      • Intro and Perceptron Model
      • Coding Perceptron - Python, Numpy, Tensorflow
      • Multi-Layer Perceptrons - Coding a single layer
      • Coding a Multi-layer Perceptron, Learnable Parameters
      • Intuition on Neural Networks Working
      • Neural Networks Demo using playground
      • Activation Functions - Need & Properties
      • Activation Functions - Types & Implementation

  • Advanced Module

      • Training Process of Neural Network
      • Loss Functions - Classification & Regression
      • Gradient Descent Algorithm
      • Backpropagation for Single Neuron & Layer
      • Backpropagation for Multi-layer Network
      • Common Concepts in Training Process
      • Optimizers Evolution - SGD to Adam

  • Expert Module

      • Project on Regression using Tensorflow
      • Project on Image Classification using Tensorflow

Course Offerings

Certificate you will get

IITM Pravartak certified Python certification.
Certificates are globally recognized & they upgrade your programming profile.
Certificates are generated after the completion of course.

After this Course

**Build Neural Networks:** Craft robust architectures for diverse applications.
**Code with Confidence:** Develop perceptrons and multilayer perceptrons proficiently.
**Navigate Environments:** Set up and optimize your workspace using Colab and Kaggle.
**Master Activation Functions:** Implement and understand various activation functions effectively.
**Lead ML Projects:** Take charge with a deep understanding of training processes.
**Apply Advanced Optimizers:** Utilize cuttingedge techniques, from SGD to Adam.

Pre Requsites

Basic Python Knowledge: Familiarity with Python programming language is recommended.
Interest in Machine Learning: A passion for ML concepts is beneficial.
Access to Google Colab and Kaggle: Ensure a smooth environment setup.

Course is for

Freshers

Professionals

Students

FAQ's

  • Overview of GUVI’s Deep Learning Fundamentals Certification Course
    GUVI's Deep Learning Fundamentals course is an immersive journey into artificial neural networks, covering historical evolution, environment setup, coding, and practical applications. Participants gain a comprehensive understanding of deep learning foundations, making it ideal for beginners and professionals aiming to lead machine learning projects. Learn Deep Learning from scratch!
  • Why Learn the Deep Learning Fundamentals Course?
    Mastering Deep Learning Fundamentals is essential for anyone venturing into AI. This Deep Learning for Beginner course equips learners with practical skills, from coding neural networks to understanding advanced optimizers, fostering confidence in tackling realworld challenges and leading successful machine learning endeavours.
  • Why Choose GUVI for Learning the Deep Learning Fundamentals Course?
    GUVI stands out for its handson approach, combining theoretical knowledge with practical projects. The course leverages interactive tools, guided coding exercises, and insightful demonstrations, ensuring a dynamic and engaging learning experience. GUVI's commitment to empowering learners in AI sets it apart.
  • Benefits of Learning Deep Learning Fundamentals Certification:
    Upon certification, participants gain a solid understanding of neural networks, handson coding experience, and the ability to lead machine learning projects. The certification acts as a testament to their expertise, enhancing professional credibility and opening doors to diverse opportunities in the AI landscape.
  • Is the Deep Learning Fundamentals Course Difficult to Learn?
    The course is designed for accessibility, catering to both beginners and tech professionals. Clear explanations, interactive tools, and stepbystep guidance make complex concepts digestible. GUVI ensures a supportive learning environment, making the Deep Learning Fundamentals course approachable and rewarding.
  • How Long Does It Take to Learn Deep Learning Fundamentals Course?
    The course duration depends on individual learning speeds, but on average, participants can complete the Deep Learning Fundamentals course in 6 weeks. GUVI's structured modules, practical exercises, and engaging content facilitate efficient learning, allowing participants to progress at their own pace while ensuring a comprehensive grasp of the material.

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