PyTorch Basic for Machine Learning Training

Live Online & Classroom Enterprise Training

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong foundations and all the prerequisites you need before you build deep learning models.

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What is PyTorch Basic for Machine Learning Course about?

This course is the first part in a two part course and will teach you the fundamentals of Pytorch while providing the necessary prerequisites you need before you build deep learning models.

We will start off with PyTorch's tensors in one dimension and two dimensions , you will learn the tensor types an operations, PyTorchs Automatic Differentiation package and integration with Pandas and Numpy. This is followed by an in-depth overview of the dataset object and transformations; this is the first step in building Pipelines in PyTorch.

What are the objectives of PyTorch Basic for Machine Learning Course ?

Build a Machine learning pipeline in PyTorch
Train Models in PyTorch.
Load large datasets
Train machine learning applications with PyTorch
Have the prerequisite Knowledge to apply to deep learning and
how to incorporate and Python libraries such as Numpy and Pandas with PyTorch

Who is PyTorch Basic for Machine Learning Course for?

This course is for beginner-level students up to expert-level students. You will start with some very basic machine learning models and advance to the state-of-the-art concepts.

What are the prerequisites for PyTorch Basic for Machine Learning Course?

None

Available Training Modes

Live Online Training

10 Hours

Self-Paced Training

10 Hours

Course Outline Expand All

Expand All

Module 1-Tensor and Datasets, Incomplete section

Introduction

Overview of Tensors

Tensors 1D

Two-Dimensional Tensors

Derivatives in PyTorch

Simple Dataset

Dataset

Module 2- Linear Regression

Linear Regression in 1D - Prediction

Linear Regression Training

Gradient Descent and Cost

PyTorch Slope

Linear Regression Training

Module 3- Linear Regression PyTorch Way

Stochastic Gradient Descent and the Data Loader

Mini-Batch Descent

Optimization in PyTorch

Training, Validation and Test Split

Early Stopping and Checkpoints

Module 4- Multiple Input Output Linear Regression

Multiple Linear Regression Prediction

Multiple Output Linear Regression

Module 5- Logistic Regression for Classification

Linear Classifier and Logistic Regression

Logistic Regression Prediction

Bernoulli Distribution Maximum Likelihood Estimation

Logistic Regression Cross Entropy

Who is the instructor for this training?

The trainer for this PyTorch Basic for Machine Learning Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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