TensorFlow 2.0 Full Tutorial - Python Neural Networks for Beginners. Learn how to use TensorFlow 2.0 in this full course for beginners. This course will demonstrate how to create neural networks with Python and TensorFlow 2.0.
This course will demonstrate how to create neural networks with Python and TensorFlow 2.0.
⭐️ Course Contents ⭐️
⌨️ (0:00:00) What is a Neural Network? ⌨️ (0:26:34) Loading & Looking at Data ⌨️ (0:39:38) Creating a Model ⌨️ (0:56:48) Using the Model to Make Predictions ⌨️ (1:07:11) Text Classification P1 ⌨️ (1:28:37) What is an Embedding Layer? Text Classification P2 ⌨️ (1:42:30) Training the Model - Text Classification P3 ⌨️ (1:52:35) Saving & Loading Models - Text Classification P4 ⌨️ (2:07:09) How to Install TensorFlow GPU on Linux
Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks. Introducing Tensorflow, Using Tensorflow, Introducing Keras, Using Keras, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Learning Deep Learning, Machine Learning with Neural Networks, Deep Learning Tutorial with Python
Python has been the go-to choice for Machine Learning, Data Science and Artificial Intelligence developers for a long time. Python libraries for modern machine learning models & projects: TensorFlow; Numpy; Scipy; Scikit-learn; Theano; Keras; PyTorch; Pandas; Matplotlib; ...
A step-by-step guide to setting up Python for Deep Learning and Data Science for a complete beginner
In this article, we will learn how deep learning works and get familiar with its terminology — such as backpropagation and batch size