Machine Learning and Deep Learning Using TensorFlow

🎉 Artificial Intelligence (AI): Machine Learning, Deep Neural Networks (DNN), and Convolution Neural Networks (CNN) with TensorFlow 🤖

🚀 About This Course:

If you're eager to dive deep into the world of Machine Learning, Neural Networks, Deep Learning, Deep Neural Networks (DNN), and Convolution Neural Networks (CNN) with a clear and comprehensive understanding, this is the course for you! Taught by expert instructor Saikat Ghosh, this course meticulously explains all topics in detail, developing concepts in a step-by-step manner. 📚

👨‍🏫 What You'll Learn:

• Machine Learning Fundamentals: Get to grips with what Machine Learning is and how it can be applied.
• Linear Regression: Understand the steps to calculate parameters, and learn about Linear Regression using Mean Squared Error (MSE) Cost Function.
• Logistic Regression: Explore classification through Logistic Regression, decision boundaries, and the sigmoid function.
• Neural Networks: Discover the inner workings of Neural Networks, from logical operators to complex decision-making processes.
• Biological Inspiration: Learn about biological neurons and why they are central to the concept of Neural Networks.
• Image Analysis: Grasp the anatomy of an image and how Neural Networks interpret visual data.
• Multiclass Classification: Dive into classification with more than two classes, and understand the calculation of weights in Multilayer Neural Networks using Backpropagation.
• Hands-On Learning: Get practical with hands-on examples, including setting up Google Colab for Deep Neural Network (DNN) Based Image Classification, CNN based image classification, and more!
• Overfitting and Underfitting Solutions: Learn about Regularization, Data Augmentation, Dropout, and Early Stopping to solve overfitting and underfitting problems.
• Diabetes Prediction Model: Develop a model for diabetes prediction and learn how to fix issues using techniques like Regularization, Dropout, and Early Stopping.
• Advanced Topics: Explore Hands On sessions on saving weights, splitting long runs, Functional API, Transfer Learning, and extracting outputs from intermediate layers of existing models.

🎥 Why Take This Course?

• Expert Instructor: Learn from Saikat Ghosh, an experienced instructor who takes the time to explain concepts thoroughly.
• Detailed Explanations: With over 10 minutes spent on some slides, you'll be sure to understand each topic fully before moving on.
• Hands-On Examples: All the hands-on examples are carefully chosen to give you a comprehensive understanding of TensorFlow 2 and related skills.
• Downloadable Resources: Access hand-on examples directly from the course for practical learning.
• Comprehensive Curriculum: The course covers a wide range of topics, from basic concepts to advanced techniques in Machine Learning and Deep Neural Networks.

🔍 Who Should Take This Course?

This course is ideal for:

• Beginners who are new to Machine Learning and looking to build a strong foundation.
• Intermediate learners aiming to enhance their skills in Deep Learning with TensorFlow.
• Anyone interested in solving real-world problems using AI and Neural Networks.

📅 Get Started Today!

Embark on your journey to mastering Machine Learning, Deep Learning, and Neural Networks with TensorFlow. Enroll now and unlock the potential of AI with hands-on learning and expert guidance from Saikat Ghosh. 🌟

🤝 Join the Community:

Connect with fellow learners, discuss ideas, and share your progress in our supportive community. Let's embark on this AI adventure together!

🔥 Ready to transform data into intelligence? Click here to enroll now and become an expert in Machine Learning, Deep Neural Networks, and Convolution Neural Networks with TensorFlow! 🚀