Tensorflow 2 & Keras:Deep Learning & Artificial Intelligence

🚀 Course Title: Tensorflow 2 & Keras: Deep Learning & Artificial Intelligence 🧠🤖

Course Headline:

Deep Learning & Artificial Intelligence with TensorFlow 2 & Keras API Course

Welcome to the World of TensorFlow 2 and Keras!

Are you ready to dive into the depths of Deep Learning and Artificial Intelligence? Our comprehensive course is designed to guide you through the powerful combination of TensorFlow 2 and the Keras API. Whether you're a beginner or looking to advance your skills, this course will equip you with hands-on experience in creating state-of-the-art neural network models.

What You'll Learn:

• Hands-On with TensorFlow 2: Understand the fundamentals and master the Keras API for model creation.
• Google Colab Mastery: Perform all hands-on work in a scalable and flexible cloud-based environment.
• Real-World Projects: From MNIST Digits Classification to Facial Expression Recognition, you'll work on diverse and challenging projects.
  • 📊 MNIST Digits & Fashion Data Classification
  • 🐱⭕️ Cat and Dog Images Classification
  • 😊🔥 Facial Expression Recognition
  • 🌱🚫 Leaf Disease Recognition
  • 🎨 Generative Deep Learning - Neural Style Transfer
• Deep Dive into Generative Models: Explore the world of Generative Adversarial Networks (GANs) with DCGANs and learn about Denoising Autoencoders.
• Complete Lecture Notes & Code Files: Each lecture comes with detailed reference notes and code files for your convenience.

Why TensorFlow 2 + Keras?

Tensorflow is an open-source machine learning library that has gained immense popularity due to its flexibility, scalability, and ease of use. TensorFlow 2 has integrated the Keras API directly into its core, making it the go-to platform for deep learning development.

With Google Colab at your fingertips, you'll have a powerful tool that allows you to write and execute Python code with access to GPU resources—for free!

Course Topics:

• Complete Understanding of TensorFlow 2.0
• Mastering the Keras API for Model Development
• Neural Networks: Learn the foundational concepts behind Neural Networks.
• Backpropagation & Gradient Descent: Gain insights into forward propagation, backpropagation, and gradient descent techniques.
• Artificial Neural Networks (ANNs)
• Convolutional Neural Networks (CNNs): Understand and apply CNNs for image classification tasks.
• Image Recognition: Apply your knowledge of CNNs to real-world image recognition problems.
• Recurrent Neural Networks (RNNs): Dive into sequence modeling with RNNs.
• Transfer Learning: Learn how to leverage pre-trained models for faster and more efficient learning.
• Generative Adversarial Networks (GANs): Create Generative Models with TensorFlow and Keras.
• Autoencoders: Explore unsupervised learning through denoising autoencoders.
• Natural Language Processing (NLP): Get an introduction to NLP and understand its importance in AI.
• Data Analysis & Visualization: Learn to analyze data effectively using Numpy, Pandas, and visualize it with Matplotlib.

Join us on this journey to master TensorFlow 2 and Keras, and unlock the potential of Deep Learning and Artificial Intelligence. With our structured course outline, hands-on projects, and comprehensive support materials, you'll be well on your way to becoming a Deep Learning expert. Enroll now and transform your data into intelligent insights! 🌟💻