Deep Learning:Basics to Advanced (CV/IP, Sequences, FuncAPI)

Deep Learning with Python/ Keras

Expected learning & outcomes

  • The students will be able to understand what is Deep Learning. How to create various model and solve the problems hands-on using Keras.
  • As part of various hands-on activities, students will learn how to apply Deep Learning to real world problems

Course details

Topic: Deep Learning

Duration: 9.5 hours

Level: Any Level

Certification: Available

Created by: Shrirang Korde

Language: English

Provider: Udemy

About this course

Following topics are covered as part of the course

  • Explore building blocks of neural networks

    • Data representation, Tensor, Back propagation

  • Keras

    • Dataset, Applying Keras to cases studies, over fitting / under fitting

  • Artificial Neural Networks (ANN)

    • Activation functions

    • Loss functions

    • Gradient Descent

    • Optimizer

  • Image Processing

    • Convnets (CNN), hands-on with CNN

  • Text and Sequences

    • Text data, Language Processing

    • Recurrent Neural Network (RNN)

    • LSTM

    • Bidirectional RNN

  • Gradients and Back Propagation - Mathematics

    • Gradient Descent

    • Mathematics

  • Image Processing  / CV - Advanced

    • Image Data Generator

    • Image Data Generator - Data Augmentation

    • Pre-trained network

  • Functional API

    • Intro to Functional API

    • Multi Input Multi Output Model

The videos are concepts and hands-on implementation of topics

Who this course is for:

  • Beginner Python developers, Data Science students, Students who have some exposure to Machine Learning
2020-10-13 15:03:51+00:00
4.1 (23 ratings)