From Zero to Hero: Building an Artificial Neural Network with Tensorflow and Python

In this exciting video, we take you on a journey through the world of artificial intelligence by teaching you how to build your very own artificial neural network using Tensorflow and Python. With the power of machine learning, you'll learn how to create a model that can analyze data, identify patterns, and make predictions with incredible accuracy.

Whether you're a seasoned data scientist or just starting with machine learning, this video is perfect for you. We'll walk you through the basics of neural networks and then dive into building a real-world model using Tensorflow and Python.

You'll learn how to preprocess data, design the network architecture, train the model, and evaluate its performance. We'll also cover advanced topics like regularization and hyperparameter tuning to fine-tune your model and make it even more accurate.

By the end of this video, you'll have a solid understanding of how artificial neural networks work and be equipped with the skills to build your very own model. So come and join us as we unlock the power of AI with Tensorflow and Python!

TIMESTAMPS:
00:06 Intro
00:42 Dataset
04:42 Data Preprocessing Phase
13:27 Building Artificial Neural Network Phase
14:10 Initializing Artificial Neural Network Phase
15:59 Adding Input Layer & First Hidden Layer Step
19:43 Adding Second Hidden Layer Step
20:28 Adding Output Layer Step
21:30 Training the Artificial Neural Network - Compiling Step
23:56 Training the Artificial Neural Network Step
26:20 Making Prediction & Evaluating Model Phase

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