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Understanding the Perceptron | DNN Foundation for Deep Reinforcement Learning (with PyTorch)
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Mastering Probability and Statistics in Python - Understanding the Perceptron | DNN Foundation for Deep Reinforcement Learning (with PyTorch)

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This course includes

  • 30.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Course link:https://aicourse.thinkific.com/courses/reinforcement-learning-for-beginner-to-pro 00:00 – Introduction to Perceptron 05:11 – Perceptron Implementation In this video we explore one of the most fundamental concepts in deep learning — the Perceptron. The video begins by explaining the theoretical foundation of a perceptron, also known as a neuron, which serves as the core computational unit in deep neural networks. You’ll learn how inputs, represented by features, are combined with their respective weights to produce a weighted sum, and how this output is later passed through a nonlinear activation function to introduce learning capability and flexibility. The discussion also touches on the role of bias, the importance of weight parameters, and how perceptrons connect to form deeper networks. After understanding the theory, we move into practical implementation using Python and PyTorch, where we build a simple perceptron from scratch. You’ll see step-by-step how to define the weighted sum function, initialize weights, create a sample dataset, and test the perceptron’s output using tensors. This video builds the foundation for understanding and developing Deep Neural Networks that form the backbone of Deep Reinforcement Learning, preparing you for more advanced topics and implementations ahead. ✅ Stay Connected to Us. 👉 Twitter: https://twitter.com/AISciencesLearn 👉 Facebook: https://www.facebook.com/AISciencesLearn 👉 LinkedIn: http://www.linkedin.com/company/ai-sciences 👉 Website: http://www.aisciences.io ✅ For Business Inquires: [email protected] ============================= ✅ Important Python Projects: 👉 Get a look at our course on data science and AI here: https://bit.ly/3thtoUJ 👉 The Python Codes are available at this link: https://www.aisciences.academy/ytube-cfd ✅ Recommended Playlists: 👉 Artificial Intelligence https://www.youtube.com/playlist?list=PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj 👉 Machine Learning https://www.youtube.com/playlist?list=PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l ✅ Other Videos You Might Be Interested In Watching: 👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy https://www.youtube.com/watch?v=EmwmbahsM_E 👉 Build Facebook's Wav2Vec2 Model For Speech To Text Application | Easy Python Tutorial https://www.youtube.com/watch?v=t_qDAqUfqhY 👉 Fake Currency Detection Using Logistic Regression Model | Python | Tutorial For Beginners https://www.youtube.com/watch?v=dJO69JzldmQ 👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python https://www.youtube.com/watch?v=s4rV6Wyp23A ============================= ✅ About AI Sciences. AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere. We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars. We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience. 🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: https://www.youtube.com/@AISciencesLearn ================================= #predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research. Copyright Notice: This video and my YouTube channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my Youtube Channel is provided. © AI Sciences

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