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PyTorch

Learn Ai

PyTorch

Learn how to use Techpratham to build and deploy cutting-edge deep learning and AI models with PyTorch. Use PyTorch to learn how to do computer vision, natural language processing, and reinforcement learning in a real-world setting.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

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About 

PyTorch

Techpratham's PyTorch training lets you learn about deep learning by actually using PyTorch's flexible and dynamic computation graph. The course includes neural networks, computer vision, natural language processing (NLP), and putting models into use. Students will work with real data sets and use the most up-to-date AI models. By the end, you'll know how to use PyTorch to make, improve, and deploy AI solutions that can grow.

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

PyTorch

Course Curriculum

Introduction to PyTorch

Learn the basics of PyTorch and its ecosystem.

PyTorch Overview
Installation & Setup
Tensors & Operations
Autograd Basics
Autograd Basics

PyTorch Installation & Setup

Set up PyTorch in local and cloud environments with GPU/TPU support, IDE integration, and dependency management.

Installation Methods
CUDA & GPU Setup
Anaconda & Jupyter
Cloud Platforms

Tensors and Autograd

Learn about tensors, operations, and PyTorch’s automatic differentiation (autograd) system for gradient computation.

Tensor Operations
Indexing & Slicing
Autograd Basics
Gradient Descent

Building Neural Networks in PyTorch

Explore PyTorch modules for creating, training, and evaluating deep learning models with ease.

nn.Module Class
Activation Functions
Forward & Backward Pass
Loss Functions

Optimization and Training Loops

Master training loops, optimization strategies, and hyperparameter tuning for building efficient models.

Optimizers (SGD, Adam)
Learning Rate Scheduling
Backpropagation
Training Best Practices

Computer Vision with PyTorch

Implement convolutional neural networks (CNNs) for image classification, detection, and transfer learning.

Convolution Layers
Pooling Layers
Image Augmentation
Transfer Learning

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Interview Preparation
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Upcoming Batches

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Who Should Take

PyTorch

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Key Projects

<h1><strong>PyTorch</strong></h1>

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Handwritten Digit Recognition with CNNs

Use the MNIST dataset to teach a convolutional neural network to read handwritten numbers. Use TorchServe to train, validate, and tune hyperparameters, and then deploy the model.

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Movie Review Sentiment Analysis with RNNs

Use embeddings and LSTMs to make an NLP model that can tell if IMDB movie reviews are good or bad. Train the model on sequence data and then make it available as an API for real-time predictions.

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Real-Time Object Detection with YOLO/PyTorch

Use YOLO or Faster R-CNN in PyTorch to set up a system that can find objects in real time. Use an open dataset to train the model, then tweak it and use it for live video or camera input applications.

Placement Process

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

Our Learner Voice

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

Why should I learn PyTorch if TensorFlow is already popular?

What is PyTorch?

Why should I learn PyTorch?

Is PyTorch better than TensorFlow?

What are the main applications of PyTorch?

Do I need strong programming skills to use PyTorch?

Industry-Recognized Certification

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Hyderabad Office

LVS Arcade, 6th Floor, Hitech City, Hyderabad

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