Deep Learning: Top 4 Python Libraries You Must Learn in 2021
Become A Top-Notch Deep Learning Developer That Big Corporations Will Always Scout
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71
students
3.5 hours
content
Feb 2021
last update
$44.99
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What you will learn
Overview of Tensorflow 2.0, PyTorch, MXNet and OpenCV modules, APIs and installation.
Build Convolutional Neural Network CNN models using Tensorflow 2.0, PyTorch and MXNet
Build Recurrent Neural Network RNN models using Tensorflow 2.0, PyTorch and MXNet
Build Fully Connected Network FCN models using Tensorflow 2.0, PyTorch and MXNet
Implement Transfer Learning using using Tensorflow 2.0, PyTorch and MXNet
Execute Image Transformation Operations using OpenCV
Execute Feature Extraction and Detection using OpenCV
Perform Data Pipeline Transformation using Tensorflow 2.0, PyTorch and MXNet
Action steps after every module that is similar to real-life projects
Advanced lessons that are not included in most deep learning courses out there
Apply your new-found knowledge through the Capstone project
Download Jupyter files that contain live codes, simulations and visualizations that experts use.
Related Topics
3460358
udemy ID
8/30/2020
course created date
10/1/2020
course indexed date
AhmedELKING
course submited by