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Tensorflows

Learn Ai

Tensorflows

With Techpratham, you can learn how to use TensorFlow to build, train, and deploy deep learning models for real-world use. Use Google's open-source framework to learn about AI and neural networks by doing.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

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About 

Tensorflows

Techpratham's TensorFlow training gives you a full understanding of deep learning and machine learning with TensorFlow. Students will learn about neural networks, training models, transfer learning, and putting them on cloud and edge devices. Computer vision, natural language processing, and recommendation systems are some of the real-world uses that the course covers. By the end, you'll know how to use TensorFlow to make 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.

Tensorflows

Course Curriculum

Introduction to TensorFlow

Learn the basics of TensorFlow and its ecosystem.

TensorFlow Overview
Installation & Setup
TensorFlow Ecosystem
Tensors & Operations
Eager Execution

TensorFlow Environment Setup

Set up TensorFlow on local and cloud environments, including installation, configurations, and IDE integration.

Installation Methods
GPU/TPU Setup
Anaconda & Jupyter
Cloud Setup

TensorFlow Core Concepts

Understand TensorFlow’s architecture, computation graphs, tensors, and operations essential for model building.

Tensors & Operations
Computation Graphs
Sessions & Variables
Eager Execution

Data Handling with TensorFlow

Learn how to preprocess, load, and manage datasets efficiently using TensorFlow Data APIs.

tf.data API
Data Preprocessing
Augmentation
Pipelines

Building Neural Networks with Keras

Use TensorFlow’s high-level API (Keras) to build, train, and evaluate deep learning models easily.

Sequential API
Functional API
Layers & Activation
Model Training

Convolutional Neural Networks (CNNs)

Develop image classification and recognition models using TensorFlow and Keras CNN architectures.

Conv Layers
Pooling Layers
Image Augmentation
Transfer Learning

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Additional Program Highlights

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Who Should Take

Tensorflows

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Key Projects

<h1><strong>Tensorflows</strong></h1>

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Image Classification with CNNs

Train and build a convolutional neural network to sort images from datasets like MNIST or CIFAR-10. Add more data and test performance on data that hasn't been seen before. Use TensorFlow Serving to put the model into use.

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Text Sentiment Analysis with RNNs/LSTMs

Make a deep learning model that can tell the difference between good and bad text reviews. Use LSTMs and embeddings to model sequences, and then make the model available as an API for real-time predictions.

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Recommendation System using TensorFlow

Use TensorFlow to make a recommendation engine that uses collaborative filtering. Train the model on data about how users interact with items, and then put it on a web interface so that it can give personalized recommendations.

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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

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Beyond Courses:

Additional Support We Provide

24/7 Support

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Alumni Sessions

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Live Projects

Is TensorFlow only used for deep learning?

What is TensorFlow?

Why should I learn TensorFlow?

Is TensorFlow beginner-friendly?

How does TensorFlow compare with PyTorch?

What kind of models can I build with TensorFlow?

Industry-Recognized Certification

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