Скачать или смотреть Artificial Intelligence Full course with Deep learning 20 TensorFlow Object Detection Realtime Obj

Artificial Intelligence Full course with Deep learning 20 TensorFlow Object Detection Realtime Obj

Welcome to this exciting deep learning tutorial where we explore the fascinating world of Keras, Neural Networks, and AI model building! 🚀 In this video, you’ll discover how powerful frameworks like Keras simplify deep learning, making it easier than ever to design, train, and deploy models. We’ll cover everything from the basics of perceptrons and feed-forward networks to advanced architectures built with Keras Sequential and Functional APIs.

We start with the fundamentals of neural networks — perceptrons, inputs, weights, biases, activation functions, and outputs. You’ll see how data flows forward, how predictions are made, and how backpropagation adjusts weights to minimize error. With fun analogies like the beer festival dart game, you’ll understand how models learn step by step, improving accuracy with every attempt.

Next, we dive into Keras, the human-friendly deep learning framework. You’ll learn:

What Keras is and why it’s widely adopted by companies like Netflix, Google, Microsoft, and Amazon.

How Keras provides easy-to-use APIs while running on powerful backends like TensorFlow.

Why Keras is flexible, scalable, and developer-friendly, making it perfect for both beginners and advanced AI engineers.

The two main modeling approaches:
👉 Sequential Model – simple, layer-by-layer building.
👉 Functional Model – advanced, supporting multiple inputs/outputs, non-linear flows, and reusable components.

We also cover execution modes in Keras: symbolic graph-based execution vs eager execution, showing how computation graphs are used in training and prediction. You’ll understand how optimizers like gradient descent and loss functions like mean squared error or cross-entropy guide the learning process.

As a real-world example, we build a Wine Price Prediction Model using the Keras Functional API. By combining text features like wine descriptions with structured features like grape variety and region, the model learns to predict wine prices. This hands-on case study demonstrates how Keras enables you to mix data types, create wide and deep learning architectures, and deliver practical AI solutions.

Other key highlights include:
✅ The role of epochs, iterations, and learning rates in training.
✅ How to prevent overfitting with proper architecture design.
✅ The power of activation functions like sigmoid, tanh, and ReLU.
✅ Practical tips for saving, restoring, and scaling models.
✅ Why Keras is the future of accessible deep learning research and production.

By the end of this tutorial, you’ll be able to:

Understand neural networks from perceptrons to deep learning.

Use Keras Sequential and Functional APIs to build your own AI models.

Apply real-world problem-solving with hands-on examples.

Appreciate how backpropagation and gradient descent fuel modern AI.

This isn’t just theory — it’s an engaging, practical, and entertaining guide to deep learning. Whether you want to launch a career in AI, experiment with TensorFlow and Keras, or simply learn how machines can recognize patterns and make predictions, this video is designed to inspire and teach.

👉 Don’t forget to like, comment, and subscribe for more tutorials on AI, machine learning, and deep learning. Share your thoughts below: What project would you build with Keras?

Let’s make deep learning fun, approachable, and exciting together! 🎉

#Keras #DeepLearning #MachineLearning #AI #TensorFlow #NeuralNetworks

📌 Tags (≈470 characters)

keras tutorial, deep learning keras, keras functional api, keras sequential model, machine learning tutorial, tensorflow keras, build neural networks, keras explained, perceptron, feed forward network, backpropagation, gradient descent, activation functions, relu, sigmoid, tanh, loss function, epochs iterations, overfitting underfitting, wine prediction model, wide and deep learning, python ai tutorial, ai for beginners, artificial intelligence tutorial

📌 5 Video Titles

Keras Tutorial 2025 | Deep Learning Made Simple with TensorFlow

Neural Networks & Keras Explained | Build AI Models Step by Step

From Perceptrons to Deep Learning | Keras Sequential & Functional API

Hands-On Keras Tutorial | Wine Price Prediction with Deep Learning

Keras for Beginners | Backpropagation, Gradient Descent & AI Models