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Courses chevron_right Deep Learning chevron_right Premium

Deep Learning Course

PyTorch - Python Deep Learning Neural Network API

Coding Focused Project Based Theory Based Hands-On Exploratory

Pytorch Python Jupyter Discord VS Code

Level: Intermediate

Instructor: Chris

$79.99 $99.99 20% Off - Limited Offer

Course thumbnail for PyTorch - Python Deep Learning Neural Network API

What's Included:

43 Video Lectures

3144 Lines of Code

Watch Duration: 10.1 Hours

39 Inline Math Snippets

96 Pages of Lecture Notes

410 Inline Code Snippets

Reading Time: 10 Hours

18 Custom Visual Graphics

261 Quiz Questions

Updated and Maintained

Deep Learning with PyTorch.

In this course, we learn how to leverage PyTorch to smoothly integrate deep learning into Python programs.

What you'll learn ...

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Learn how to install and configure PyTorch

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Intuitively understand tensors and how they are the data structures of deep learning

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Learn about tensor attributes like axes, rank, and shape

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Learn tensor operations that are heavily used in deep learning like flattening, reshaping, and squeezing

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Learn tensor operations by categories like reshaping ops, element-wise ops, reduction ops, and access ops

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Develop a fundamental understanding of datasets and dataset processing in PyTorch

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Understand the data preprocessing pipeline

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Learn about the Fashion MNIST dataset and how it relates to MNIST

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Develop of a deeper understanding of network design in general and in PyTorch

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Learn to debug PyTorch code using a debugger

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How to build PyTorch networks and training Loops

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Understand how to integrate TensorBoard with PyTorch

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Gain experience building a custom framework for experimentation and testing

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How to perform hyperparameter experimentation using a custom testing framework

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How to experiment with multiple network architectures using a custom build framework

Deep Learning with PyTorch Syllabus.

Learn intermediate concepts and how to use existing tools to develop and experiment with deep learning models.

PyTorch - Python Deep Learning Neural Network API

$79.99 $99.99 20% Off - Limited Offer

Enrolled

What's Included:

Deep Learning with PyTorch.

What you'll learn ...

Deep Learning with PyTorch Syllabus.

Part 1 - TENSORS AND OPERATIONS

Section 1 - Introducing PyTorch

Lesson #1

PyTorch Prerequisites - Syllabus for Neural Network Programming Course

Lesson #2

PyTorch Explained - Python Deep Learning Neural Network API

Lesson #3

PyTorch Install - Quick and Easy

Lesson #4

CUDA Explained - Why Deep Learning uses GPUs

Section 2 - Introduction to Tensors

Lesson #5

Tensors Explained - Data Structures of Deep Learning

Lesson #6

Rank, Axes, and Shape Explained - Tensors for Deep Learning

Lesson #7

CNN Tensor Shape Explained - Convolutional Neural Networks and Feature Maps

Lesson #8

PyTorch Tensors Explained - Neural Network Programming

Lesson #9

Creating PyTorch Tensors for Deep Learning - Best Options

Section 3 - Introduction to Tensor Operations

Lesson #10

Flatten, Reshape, and Squeeze Explained - Tensors for Deep Learning with PyTorch

Lesson #11

CNN Flatten Operation Visualized - Tensor Batch Processing for Deep Learning

Lesson #12

Tensors for Deep Learning - Broadcasting and Element-wise Operations with PyTorch

Lesson #13

Code for Deep Learning - ArgMax and Reduction Tensor Ops

Part 2 - NEURAL NETWORK TRAINING

Section 1 - Data and Data Processing

Lesson #14

Dataset for Deep Learning - Fashion MNIST

Lesson #15

CNN Image Preparation Code Project - Learn to Extract, Transform, Load (ETL)

Lesson #16

PyTorch Datasets and DataLoaders - Training Set Exploration for Deep Learning and AI

Section 2 - Neural Networks and PyTorch Design

Lesson #17

Build PyTorch CNN - Object Oriented Neural Networks

Lesson #18

CNN Layers - PyTorch Deep Neural Network Architecture

Lesson #19

CNN Weights - Learnable Parameters in PyTorch Neural Networks

Lesson #20

Callable Neural Networks - Linear Layers in Depth

Lesson #21

How to Debug PyTorch Source Code - Deep Learning in Python

Lesson #22

CNN Forward Method - PyTorch Deep Learning Implementation

Lesson #23

CNN Image Prediction with PyTorch - Forward Propagation Explained

Lesson #24

Neural Network Batch Processing - Pass Image Batch to PyTorch CNN

Lesson #25

CNN Output Size Formula - Bonus Neural Network Debugging Session

Section 3 - Training Neural Networks

Lesson #26

CNN Training with Code Example - Neural Network Programming Course

Lesson #27

CNN Training Loop Explained - Neural Network Code Project

Lesson #28

CNN Confusion Matrix with PyTorch - Neural Network Programming

Lesson #29

Stack vs Concat in PyTorch, TensorFlow & NumPy - Deep Learning Tensor Ops

Lesson #30

TensorBoard with PyTorch - Visualize Deep Learning Metrics

Lesson #31

Hyperparameter Tuning and Experimenting - Training Deep Neural Networks

Section 4 - Neural Network Experimentation

Lesson #32

Training Loop Run Builder - Neural Network Experimentation Code