Deep Learning Top 4 Python Libraries You Must Learn in 2021

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz Language: English | VTT | Size: 1.54 GB | Duration: 10 section | 89 lectures | (3h 34m) What you'll 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. Requirements Basic Python programming experience Description Want To Become A Top-Notch Deep Learning Developer That Big Corporations Will Always Scout? 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Here's What You'll Learn Through Our Course: Introduction to the Top Deep learning modules, APIs and installation: Tensorflow 2.0, PyTorch, MXNet and OpenCV Perform Data Pipeline Transformation using Tensorflow 2.0, PyTorch and MXNet 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 Tensorflow 2.0, PyTorch and MXNet Execute Image Transformation Operations using OpenCV Execute Feature Extraction and Detection using OpenCV 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. 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