×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Join Our Telegram Channel Now to Get Any New Free Courses : Click Here

Deep Learning Projects with Python

Track :

Computer Science

Lessons no : 7

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Develop deep learning models for image classification, sentiment analysis, and object detection using Python and TensorFlow
  • Apply neural network architectures and activation functions to solve real-world problems efficiently
  • Preprocess data and optimize loss functions to enhance deep learning model accuracy and performance
  • Build, train, and fine-tune deep learning models for time-series forecasting and other applications
  • Deploy deep learning solutions effectively using Python libraries like Keras and TensorFlow
  • Implement best practices for model evaluation, hyperparameter tuning, and deployment in real-world projects

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 7


We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews
KASTURI NAVYA

GOOD 2025-03-30

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

Linear Algebra for Computer Scientists
7 Lessons

Linear Algebra for Computer Scientists

Insertion Sort
3 Lessons

Insertion Sort

Bubble Sort
4 Lessons

Bubble Sort

GCSE Computer Science
18 Lessons

GCSE Computer Science

Random Access Memory
7 Lessons

Random Access Memory

Binary Trees
4 Lessons

Binary Trees

Bitwise Operators
4 Lessons

Bitwise Operators

Introduction to Stacks Data Structures
17 Lessons

Introduction to Stacks Data Structures

Organization Theory Structure and Design
41 Lessons

Organization Theory Structure and Design

Handling Large Scale Unit Level Data
41 Lessons

Handling Large Scale Unit Level Data

Introduction to Machine Learning
19 Lessons

Introduction to Machine Learning

Applied Linear Algebra Vectors Matrices
54 Lessons

Applied Linear Algebra Vectors Matrices

Artificial Intelligence beginners
1 Lessons

Artificial Intelligence beginners

Machine Learning Autumn 2018
1 Lessons

Machine Learning Autumn 2018

Robotics and Autonomous Systems
15 Lessons

Robotics and Autonomous Systems

Natural Language Understanding
15 Lessons

Natural Language Understanding

Deep Learning Projects with Python course, in this course is an immersive course focused on applying deep learning techniques to real-world projects. In this course, you'll explore foundational concepts such as neural networks, activation functions, loss optimization, and advanced architectures. With hands-on practice, you'll build and train models for tasks like image classification, sentiment analysis, time-series forecasting, and object detection. Utilizing Python’s powerful libraries like TensorFlow and Keras, you'll learn to preprocess data, fine-tune models, and deploy solutions effectively. This course is designed for both beginners and experienced developers, offering step-by-step guidance to master the art of creating deep learning applications.