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Deep Learning specialization
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Deep Learning

4.7

(558 ratings)

AI is growing exponentially. From self driving cars to movie recommendations to cancer detection, AI is helping us in our daily lives. This Deep Learning specialisation is foundational program that will help you kick start your career in AI. You will learn ANN, CNN, RNN and how to build them.....

Upcoming Batches

Live Session

Nov 8 | 3:01 PM

Features

Shareable Certificate
Earn a Certificate upon completion
100% Online Live Class
Mentor driven live classes
Instant Doubt Resolution
Get your doubt clarified instantly
Practice Material
Get Notebook to revise, practice, test yourself and interact with mentor

What You Will Learn

Goal - Data Science
What you will learn

Deep Learning

  • Understand Deep Learning and its applications
  • What are Neural Networks and how to train and use them
  • Different types of neural networks, ANN,CNN & RNN
  • How to solve real world problems using deep learning

PREREQUISITE KNOWLEDGE
  • Python Programming Basics

Deep Learning Batch Schedule

Batch Starting at
Introduction to Deep Learning

Why Machine Learning fails for large dataset, introduction to deep learning, Neurons, neural networks, how they are similar to human brain.

08 Nov | 03:01 PM | 90 min

08 Nov | 03:01 PM | 90 min
Artificial Neural Networks - 1

Understanding artificial neural networks, neurons, input layers, output layers, wights, bias, activation functions. Case study on ANN.

11 Nov | 03:01 PM | 90 min

11 Nov | 03:01 PM | 90 min
Artificial Neural Networks - 2

Working of neural networks, forward propagation and backward propagation, deep layered neural networks Case study on ANN.

15 Nov | 03:01 PM | 90 min

15 Nov | 03:01 PM | 90 min
Convolutional Neural Networks - 1

Why Artificial Neural Networks fails for data such as images, Understanding convolution, Padding, pooling, Case study on CNN.

18 Nov | 03:01 PM | 90 min

18 Nov | 03:01 PM | 90 min
Convolutional Neural Networks - 2

How Convolutional neural networks work, Fully Connected Layers, normalization, os library, unzip, image resizing, colab patches for images, transfer learning. Case study on CNN.

22 Nov | 03:01 PM | 90 min

22 Nov | 03:01 PM | 90 min
Recurrent Neural Networks - 1

How to process sequence like text and how to train machine for them, Vanishing Gradient or Exploding Gradient Problem, Limitation of ANN and CNN, Introduction to RNN. Case study on RNN.

25 Nov | 03:01 PM | 90 min

25 Nov | 03:01 PM | 90 min
Recurrent Neural Networks - 2

Limitations of RNN and advantages of LSTM, LSTM (Long Short Term Memory), Encoder - Decoder network attention model, Keras: tokenizer, Rms prop optimizer, NLTK stopwords, Keras: Pad Sequences. Case study on RNN.

29 Nov | 03:01 PM | 90 min

29 Nov | 03:01 PM | 90 min
Capstone project - Part 1

Capstone project part 1, data cleaning, model building.

02 Dec | 03:01 PM | 90 min

02 Dec | 03:01 PM | 90 min
Capstone Project - Part 2

Capstone Project part 2, Model testing, app building, deploying to cloud.

06 Dec | 03:01 PM | 90 min

06 Dec | 03:01 PM | 90 min
Certificate

Deep Learning


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