Deep Learning in English(/Hindi): Python,OpenCV,CNN,RNN,LSTM
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Deep Learning in English(/Hindi): Python,OpenCV,CNN,RNN,LSTM

Deep Learning in English(/Hindi): Python,OpenCV,CNN,RNN,LSTM

Deep Learning in English(/Hindi): Python,OpenCV,CNN,RNN,LSTM


Deep Learning with Python/ Keras

- 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

Deep Learning is part of a broader family of machine learning methods based on artificial neural networks.

Deep-learning architectures such as deep neural networks,  recurrent neural networks, convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced good results

Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains.

Keras is the most used deep learning framework. Keras follows best practices for reducing cognitive load: it offers APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.

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

Requirements

- Python language

Who this course is for:

- Beginner Python developers, Data Science students, Students who have some exposure to Machine Learning

Deep Learning in English(/Hindi): Python,OpenCV,CNN,RNN,LSTM
Deep Learning with Python-Keras

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