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What you'll learn?
- Introduction to Deep Learning and understand how Deep Learning solves problems which Machine Learning cannot.
- Understand fundamentals of Machine Learning and relevant topics of Linear Algebra and Statistics.
- Understand TensorFlow and Keras.
Course Overview
In this Deep Learning with Python Training we will learn about what is AI, explore neural networks, understand deep learning frameworks, implement various machine learning algorithms using Deep Networks.
We will also explore how different layers in neural networks does data abstraction and feature extraction using Deep Learning.
It is designed to make you a Data Scientist by providing you rich hands-on training on Deep Learning.
This course is a stepping stone in your Data Science journey using which you will get the opportunity to work on various Deep Learning projects.
Pre-requisites
- Basic Python
- Machine Learning
Target Audience
- For all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer
- Developers aspiring to be a 'Data Scientist'
- Business Analysts who want to understand Deep Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
Curriculum 14 Lectures 06:00:14
-
Section 1 : Deep Learning
- Lecture 2 :
- Lec 2 - Single Layered Perceptron
- Lecture 3 :
- Lec 3 - Multi Layered Perceptron
- Lecture 4 :
- Lec 4 - WEIGHTS
- Lecture 5 :
- Lec 5 - Back Propagation
- Lecture 6 :
- Lec 6 - Activation Functions and Bias-Variance TradeOff
- Lecture 7 :
- Lec 7 - ReLU
- Lecture 8 :
- Lec 8 - Weight Initialization
- Lecture 9 :
- Lec 9 - TensorFlow and Keras
- Lecture 10 :
- Lec 10 - ANN ( Artificial Neural Network )
- Lecture 11 :
- Lec 11 - CNN ( Convolutional Neural Network )
- Lecture 12 :
- Lec 12 - Project on CNN
- Lecture 13 :
- Lec 13 - RNN ( Reccurent Neural Networks )
- Lecture 14 :
- Lec 14 - LSTM ( Long Short Term Memory )
Our learners work at
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Instructor
262479 Course Views
6 Courses
Hello guys, How are you all doing? So a quick introduction of me, well I am a Big Data Expert and Data Scientist, I have 3 years of experience on these domain in companies as well as a trainer.
My teaching method is completely different than others like I am not a slide reader, I use analogies and examples a lot to explain things and mostly try to be practical which you'll see in the course.
Hope to see you all in the lectures, Good Luck!
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