TechEduxon - Courses

Deep Learning with Python

20 Ratings 20 Learners

Dive into the realm of artificial intelligence with our 'Deep Learning with Python' course. Unlock the secrets of cutting-edge technology as you explore neural networks, algorithms, and real-world applications. Learn to harness the power of Python for deep learning projects, gaining hands-on experience in a dynamic and supportive environment. Elevate your skills, stay ahead in the AI landscape, and embark on a transformative journey into the depths of deep learning proficiency.

Deep Learning with Python Course Overview

Deep Learning with Python Course Overview Unlock the power of deep learning with our comprehensive course using Python. Dive into neural networks, convolutional networks, and recurrent networks while mastering the Python libraries TensorFlow and Keras. Gain hands-on experience building and training models for image recognition, natural language processing, and more. This course is designed for those with a basic understanding of Python and machine learning, aiming to transform their skill

Deep Learning with PythonTraining Key Features

Comprehensive Curriculum
Hands-on Projects
Model Optimization
TensorFlow and Keras
Data Preprocessing
Python Integration.

Skills Covered

Python Programming
Neural Network Architecture
TensorFlow and Keras
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Natural Language Processing (NLP)
View More

Change Currency

Enroll Now

Not sure? Talk to our advisors

Mobile Number

GET IN TOUCH

Deep Learning with Python Course Curriculum

Benefits

Cutting-Edge Technology Career Advancement Problem-Solving Skills Versatility Practical Experience Community and Networking Future-Proof Skills Innovation Opportunities

Pre-requisites

Before starting a Deep Learning with Python course, you should have a solid understanding of Python programming, including basic syntax, data structures, and object-oriented principles. Familiarity with fundamental machine learning concepts and algorithms is essential. Additionally, a strong foundation in linear algebra, calculus, and probability/statistics is crucial for grasping deep learning concepts. Experience with libraries like NumPy and Pandas will also be beneficial.

Course Content

Deep Learning and Neural Networks
Working with Keras and TensorFlow
Building Neural Networks from Scratch
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs) and LSTMs
Autoencoders and Generative Models
Deploying Deep Learning Models

Download Syllabus

+91 9491587555

( Toll Free )

Request more information

Inquiry For: Myself My Company

By providing your contact details, you agree to our Privacy Policy

Deep Learning with Python Exam & Certification

Deep Learning with Python Course Reviews

"Great course! The step-by-step approach to deep learning, combined with Python coding, made it easy to follow. I gained practical skills I can apply immediately."

"The deep dive into neural networks and hands-on projects made this course truly engaging. It’s a must-take for anyone looking to master deep learning with Python."

"The Deep Learning with Python course was well-structured and comprehensive. The hands-on projects helped me understand complex neural networks. Highly recommended!"