Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Overview

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Dive into a comprehensive 2-3 hour tutorial on using Keras with TensorFlow for Python deep learning and neural networks. Learn to prepare and process data for artificial neural networks, build and train networks from scratch, develop convolutional neural networks (CNNs), implement fine-tuning and transfer learning techniques. Master essential skills like creating validation sets, making predictions, generating confusion matrices, and saving/loading models. Explore advanced topics such as image preparation for CNNs, MobileNet image classification, and data augmentation. Gain hands-on experience with practical examples and step-by-step guidance, equipping you with the knowledge to tackle real-world deep learning projects using Keras and TensorFlow.

Syllabus

) Welcome to this course.
) Keras Course Introduction.
) Course Prerequisites.
) DEEPLIZARD Deep Learning Path.
) Course Resources.
) About Keras.
) Keras with TensorFlow - Data Processing for Neural Network Training.
) Create an Artificial Neural Network with TensorFlow's Keras API.
) Train an Artificial Neural Network with TensorFlow's Keras API.
) Build a Validation Set With TensorFlow's Keras API.
) Neural Network Predictions with TensorFlow's Keras API.
) Create a Confusion Matrix for Neural Network Predictions.
) Save and Load a Model with TensorFlow's Keras API.
) Image Preparation for CNNs with TensorFlow's Keras API.
) Build and Train a CNN with TensorFlow's Keras API.
) CNN Predictions with TensorFlow's Keras API.
) Build a Fine-Tuned Neural Network with TensorFlow's Keras API.
) Train a Fine-Tuned Neural Network with TensorFlow's Keras API.
) Predict with a Fine-Tuned Neural Network with TensorFlow's Keras API.
) MobileNet Image Classification with TensorFlow's Keras API.
) Process Images for Fine-Tuned MobileNet with TensorFlow's Keras API.
) Fine-Tuning MobileNet on Custom Data Set with TensorFlow's Keras API.
) Data Augmentation with TensorFlow' Keras API.
) Collective Intelligence and the DEEPLIZARD HIVEMIND.