Deep Learning
Explore deep learning fundamentals, computer vision, TensorFlow, Keras, transfer learning, and advanced topics like TPUs in this comprehensive introduction to neural networks.
Programming LSTM with Keras and TensorFlow
Explore LSTM and GRU layers for recurrent neural networks in Keras, laying the groundwork for NLP and time series prediction with practical examples and implementations.
Deep Learning Basics with Python, TensorFlow and Keras
Master deep learning fundamentals using Python, TensorFlow, and Keras. Explore CNNs, RNNs, data loading, model analysis, optimization, and practical applications in cryptocurrency prediction.
Keras Tutorial - Neural Network Architectures and Advanced Concepts - Part 2
Learn advanced deep learning concepts including neural networks, VGG, residual connections, autoencoders, and GANs. Explore batch processing, reproducibility, and practical implementation in Keras.
Applications of Deep Neural Networks for TensorFlow and Keras
Comprehensive exploration of deep neural networks using TensorFlow and Keras, covering image processing, GANs, transfer learning, NLP, reinforcement learning, and practical applications.
Create AI Images with Your Face Using Photomaker - Free and Easy Tutorial
Explore Photomaker to generate AI images featuring your face. Learn installation, Python libraries, and text-prompt techniques for creating personalized, stunning photos effortlessly.
Deep Learning With TensorFlow
Learn TensorFlow basics, deep learning concepts, and practical applications through comprehensive tutorials and hands-on projects. Explore neural networks, computer vision, and natural language processing.
CBW's Machine Learning Workshops May 25-26, 2021
Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.
Keras Tutorial With TensorFlow - Building Deep Learning Models With Python
Learn to build deep learning models using Keras and TensorFlow in Python. Covers data preparation, neural network construction, and practical implementation with hands-on examples.
Deep Learning with Keras
Explore deep learning with Keras, covering neural networks, face recognition, OpenPose, stock prediction, and more. Hands-on tutorials for practical AI applications.
Data Science Projects
Hands-on projects covering deep learning, machine learning, and data analysis. Practical applications in healthcare, finance, and more using Python, TensorFlow, and other tools.
Introduction to Deep Learning for Everyone
Learn deep learning fundamentals using Keras and TensorFlow in R, covering regression, neural networks, regularization, and convolutional networks for practical applications.
Introduction to Deep Learning - Episode 34
Gentle introduction to deep learning concepts and practical implementation, featuring expert insights, live coding demo, and Q&A on various AI topics and applications.
Introduction to STM32Cube.AI
Explore STM32CubeMX and X-Cube-AI tools for implementing Neural Networks on STM32 devices, focusing on the STM32L4 family and creating basic embedded systems.
Deep Learning With Tensorflow 2.0, Keras and Python
Comprehensive deep learning series covering neural networks, CNNs, RNNs, and advanced topics using TensorFlow 2.0, Keras, and Python. Includes hands-on projects and practical applications.
Deep Learning with Keras - Python
Explore deep learning concepts and implement models using Keras in Python. Learn about neural networks, CNNs, RNNs, LSTM, and more for practical applications like chatbots.
Python Deep Learning Neural Network API
Learn to build, train, and deploy neural networks using Keras API. Covers data preprocessing, CNNs, transfer learning, and model deployment techniques for both front-end and back-end applications.
The Fun and Easy Guide to Machine Learning - Tutorials
Comprehensive introduction to machine learning algorithms, from regression to neural networks, with practical Python implementations and engaging whiteboard explanations for beginners and enthusiasts.
Bank Defaulters Using ANN
Learn to build and apply Artificial Neural Networks for predicting bank defaulters using Keras, covering ANN architecture, activation functions, backpropagation, and practical demonstrations.
JavaScript for Cancer Prevention Through Early Detection
Explore how JavaScript, TensorFlow.js, and React Native can enhance melanoma detection accuracy, aiding early skin cancer diagnosis and potentially saving lives through innovative technology.
Inside TensorFlow - tf.Keras
Dive deeper into tf.Keras with creator Francois Chollet, exploring advanced topics like masking, dynamic layers, callbacks, and building successful models for enhanced deep learning capabilities.