Course Introduction
About Deep Learning from Scratch using Python
Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role.
But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.
This course will talk about what is deep learning and why it is important and how you can use the various concepts of deep learning. We have given enough examples for all the topics to help student understand what deep learning is all about so don't wait and start learning today!
Key Features
Course Description
- Understand the intuition behind Artificial Neural Networks
- Understand the intuition behind Convolutional Neural Networks
- Understand the intuition behind Recurrent Neural Networks
- What are Weights & Weight Initialiation in a simple way
- Talk About LSTM - Long Short Term Memory
- What are TensorFlow and Keros
- What is Single and Multi Layer Perceptrons
Pyton and Libraries. Please go over our Python for developers and other Data science related courses for better understanding of few topics however tutor tried his best to explain each topic in detail by taking various examples.
Anyone who is already in data science technology or someone who is fresher and want to crack the interview to get into data science profession.
Curriculum
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1.1 - Introduction to Deep Learning
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2.1 - Single Layered Perceptron
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2.2 - Multi Layered Perceptron
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3.1 - All about Weights
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3.2 - Back Propagation
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3.3 - Activation Functions and Bias-Variance TradeOff
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3.4 - Rectified Linear Unit ReLU
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3.5 - Weight Initialization
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4.1 - Why you need TensorFlow and Keras?
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5.1 - ANN ( Artificial Neural Network )
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5.2 - CNN ( Convolutional Neural Network )
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5.3 - Project CNN
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5.4 - RNN ( Reccurent Neural Networks )
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6.1 - What is LSTM
FAQ
Just getting enrolled in the course, your Learning Management System (LMS) access will get functional. Immediately, you will be accessible to the entire course content in the form of a complete set of Videos, Quiz, and Assignments. You can start learning right away.
You can pay by Credit Card, Debit Card or NetBanking from all the leading banks. We use a CCAvenue Payment Gateway.
Industry Experts having 10-12 years of real industrial experience
You can contact us at support@ITToolsTraining.com or use Contact Us form from our website.
We do help in preparing for the interviews. Our courses are designed in the way that you can crack the interviews easily provided you have completed the course with assignments and Quizzes.
Reviews
Score Breakdown
4.4 / 5.0
88.89% recommend this course
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