Deep Learning (from basics)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.31 GB
Genre: eLearning Video | Duration: 29 lectures (9 hour, 24 mins) | Language: English
Deep Learning with Python/ Keras
What you'll learn
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
Requirements
Python language
Description
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
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