In this course you will learn the key concepts behind deep learning and how to apply the concepts to a real-life project using PyTorch and Python.

In this course you will learn the key concepts behind deep learning and how to apply the concepts to a real-life project using PyTorch and Python.

You'll learn the following: ⌨️ RNNs and LSTMs ⌨️ Sequence Modeling ⌨️ PyTorch ⌨️ Building a Chatbot in PyTorch

⭐️Requirements ⭐️ ⌨️ Some Basic High School Mathematics ⌨️ Some Basic Programming Knowledge ⌨️ Some basic Knowledge about Neural Networks

⭐️Contents ⭐️ ⌨️ (0:00:08) Recurrent Nerual Networks - RNNs and LSTMs ⌨️ (0:35:54) Sequence-To-Sequence Models ⌨️ (0:44:31) Attention Mechanisms ⌨️ (0:57:17) Introduction to PyTorch ⌨️ (1:10:02) PyTorch Tensors ⌨️ (1:28:03) Chatbot: Processing the Dataset ⌨️ (2:48:12) Chatbot: Data Preperation ⌨️ (3:33:26) Chatbot: Building the Model ⌨️ (4:53:42) Chatbot: Training the Model

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Emojify - Create your own emoji with Deep Learning. We will classify human facial expressions to filter and map corresponding emojis or avatars.

Project walk-through on Convolution neural networks using transfer learning. From 2 years of my master’s degree, I found that the best way to learn concepts is by doing the projects.

Deep Learning with Python tutorial will help you understand what is deep learning, applications of deep learning, what is a neural network, biological versus artificial neural networks, activation functions, cost function, how neural networks work, and what gradient descent is. Finally, we'll code a neural network in Python using TensorFlow.

PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.

In this video, Deep Learning Tutorial with Python | Machine Learning with Neural Networks Explained, Frank Kane helps de-mystify the world of deep learning and artificial neural networks with Python!