Deep Learning Hands On 2020 – Complete Course

Go from Beginner to Expert with building intuition on single neuron till deep neural networks in Keras & tensorflow

You might have seen in many articles as –

What you’ll learn

  • Deep learning using Keras to implement various problems like Binary Classification, Multi Class classification, & Regression.
  • Intuition on Deep Learning Neural Networks by implementing the code in Python using Keras Library.
  • Learn Python to kick start Deep Learning journey.
  • Build intuition on Various Models in Deep learning and Learning algorithms in Deep learning.

Course Content

  • Welcome –> 1 lecture • 3min.
  • Getting basics right –> 8 lectures • 33min.
  • Python Crash Course on Basics –> 8 lectures • 51min.
  • Python for Data Science Crash Course –> 8 lectures • 1hr 12min.
  • MP Neuron Model –> 4 lectures • 20min.
  • MP Neuron in Python –> 7 lectures • 32min.
  • Summary of MP Neuron –> 1 lecture • 2min.
  • Perceptron –> 5 lectures • 25min.
  • Perceptron in Python –> 4 lectures • 18min.
  • Sigmoid Neuron –> 9 lectures • 47min.

Deep Learning Hands On 2020 - Complete Course

Requirements

  • Basic coding experience in any programming language.
  • Basic Mathematics Knowledge – High School Level.

You might have seen in many articles as –

“AI is the new future”

“Deep Learning Will Make Truly Self-Driving Cars a Reality”

“Deep Learning hottest career for the next decade “

“Deep Learning aides in Scientific discovery “

… the list goes on!!!

 

Yes. AI is the new future, with the various technological advancements in hardware and software, Deep Learning algorithms are able to perform better compared to last decade. Combined with true power in hardware and research for better Deep Learning models, the field AI is growing exponentially.

 

With all the latest demand we have in this present world, We at ManifoldAILearning decided to create the course – DEEP LEARNING from Scratch- Keras Tensorflow

 

With this course, you will kick start your journey into deep learning and build intuition on Deep Neural Networks with hands on exercise and   high quality video tutorial.

 

This is the course structure of Deep learning :

  1. Basic Nuts & Bolts of Deep Learning
  2. Crash Course on Python
  3. Understanding various models in Deep learning
  4. Implement Deep learning neural networks using keras with Tensorflow backend
  5. Implement Deep learning on common types of problems like Binary Classification, Multi Class classification & Regression

 

*** Why Deep Learning 101 !!***

Here are top reasons we think Deep Learning is best for you:

1. EXPERT DESIGNED COURSE STRUCTURE

The one challenge every learner finds is ,  getting lost in the topics of Deep Learning before stepping into it. Hence we focused on building a sold structure for this course, so that no matter what your skill level may be, you will find it intuitive on the concepts of Essentials required for kick starting your Deep learning journey.

With Exercise after each module will help you as a learner to gain knowledge as well as build confidence on the topics.

 

2. HIGH QUALITY INTUITIVE TUTORIALS

We want the students to gain intuition as well as knowing how to make it work by coding. So, we have divided our each topic into two sub sections, where we explain the concepts theoretically with intuitive videos as well as  practical section to implement the topics we have learnt in theory section. This will make you, as a student to have a complete learning experience.

 

3. PRACTICAL HANDS-ON EXERCISE

Every practical section starts with us coding along with you , and explaining  & build intuition as how each line works and behave. We believe this is important, as after the completion of this course, you should be able to apply to other datasets of your choice.

All the codes and data sets are also available for you to download & practice at your own pace.

 

We believe that this course will be very useful to you, as Deep learning 101 is designed to kick start your Deep Learning journey with required essentials and be a part of technological advancement which is driving today & Tomorrow’s technology.

 

We believe that –

” The best time to prepare for tomorrow’s technology is by learning today “.

So Start now!! We will see you in Lesson 1 of Deep Learning 101

– Team ManifoldAILearning

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