Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
23 Hour(s) 38 Minute(s)
Language
English
Taught by
Geekshub Pvt Ltd
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Master Deep Learning Algorithms Using Python From Beginner to Super Advance Level including Mathematical Insights.
Wants to become a good Data Scientist? Then this is a right course for you.
This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well.
We will walk you step-by-step into the World of Deep Learning. With every tutorial you will develop new skills and improve your understanding towards the challenging yet lucrative sub-field of Data Science from beginner to advance level.
We have solved few real world projects as well during this course and have provided complete solutions so that students can easily implement what have been taught.
We have covered following topics in detail in this course:
1. Introduction
2. Artificial Neural Network
3. Feed forward Network
4. Backpropogation
5. Regularisation
6. Convolution Neural Network
7. Practical on CNN
8. Real world project1
9. Real world project2
10 Transfer Learning
11. Recurrent Neural Networks
12. Advanced RNN
13. Project(Help NLP)
14. Generate Automatic Programming code
15. Pre- req : Python, Machine Learning
Course Content
- 24 section(s)
- 243 lecture(s)
- Section 1 Introduction
- Section 2 Artificial Neural Networks
- Section 3 Feed forward network
- Section 4 Backpropogation
- Section 5 Regularisation
- Section 6 Convolution Neural Network
- Section 7 Practical on CNN
- Section 8 Real World Project (Project1: Playing With Real World Nat)
- Section 9 Real World Project2 ( Finding Medical Abnormalities Save Life)
- Section 10 Transfer Learning
- Section 11 Recurrent Neural Networks
- Section 12 Advanced RNN
- Section 13 Project (Help NLP)
- Section 14 Generate Automatic Programming Code
- Section 15 Pre-req : Python Fundamentals
- Section 16 Pre-req : Numpy
- Section 17 Pre-req : Pandas
- Section 18 Pre-req : Some Fun With Maths
- Section 19 Pre-req : Data Visualisation
- Section 20 Pre-req : Simple Linear Regression
- Section 21 Pre-req : Gradient Descent
- Section 22 Pre-req : Classification : KNN
- Section 23 Pre-req : Logistic Regression
- Section 24 Pre-req : Advanced Machine Learning Algorithms
What You’ll Learn
- Master Deep Learning on Python
- Master Machine Learning on Python
- Learn to use MatplotLib for Python Plotting
- Learn to use Numpy and Pandas for Data Analysis
- Learn to use Seaborn for Statistical Plots
- Learn All the Mathmatics Required to understand Deep Learning Algorithms
- Implement Deep Learning Algorithms along with Mathematic intutions
- Real world projects of Deep Learning
- Learning End to End Data Science Solutions
- All Advanced Level Deep Learning Algorithms and Techniques like Regularisations , Dropout and many more included
- Learn All Statistical concepts To Make You Ninza in Deep Learning
- Real World Case Studies
- Keras
- Transfer Learning
- Artifical Neural Network
- Convolution Neural Network
- Recurrent Neural Network
- Feed Forward Network
- Backpropogation
Skills covered in this course
Reviews
-
SSalah Eldeen Gasim Mohamed Hassan
It is a very good match for me. Thank you.
-
JJonathan Plasky
great 👍
-
KKahardika Bastomi
I have learned about it before. But it's OK in order to refresh my memory...
-
TTom Qin
too slow and repeat the same materials.
