Neural Network Tutorial - Artificial Neural Network and Backpropagation in Neural Networks
In this 'Neural Network' Tutorial, you will comprehensively learn about all the concepts of Artificial neural networks and the importance of Back-propagation in Neural Networks.
Deep Learning Full Course - Complete Deep Learning for Beginners
From Google’s Self Driving Car to Apple’s Siri, all of these are applications of Deep Learning. So, keeping in mind, the importance of deep learning, we have come up with this full course on ‘Deep Learning’.
Artificial Intelligence Tutorial for Beginners - AI Full Course
Keeping the importance of artificial intelligence in mind, we have come up with this full course on Artificial Intelligence.
OpenCV Tutorial for Absolute Beginners
Comprehensive introduction to OpenCV in Python, covering installation, computer vision processes, face detection, and recognition. Includes hands-on exercises and applications in deep learning.
Data Science with Python Full Course
Comprehensive introduction to data science, covering statistics, Python, machine learning, databases, exploratory analysis, visualization, deep learning, and neural networks with practical examples.
Deep Learning Tutorial with Python
Comprehensive tutorial on deep learning with Python, covering essential libraries, machine learning concepts, neural networks, and computer vision with practical demonstrations and examples.
Machine Learning with Python for Beginners
Learn Python libraries, machine learning concepts, regression techniques, Naive Bayes, and deep learning fundamentals. Gain practical skills through demonstrations and examples to kickstart your machine learning journey.
TensorFlow 2.0 Tutorial - Deep Learning
Comprehensive TensorFlow 2.0 tutorial covering installation, neural networks, digit classification, and CNNs. Hands-on sessions provide practical understanding for deep learning enthusiasts.
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.
Complete Deep Learning
Comprehensive deep learning course covering neural networks, CNN, RNN, LSTM, and advanced topics with hands-on tutorials and practical implementations.
Amazon SageMaker
Learn to build, train, and deploy ML models using AWS SageMaker, covering notebook instances, S3 buckets, XGBoost algorithm, and endpoint predictions.
Generative Models
Explore denoising autoencoders, VAEs, GANs, and RBMs in this comprehensive introduction to generative models, covering key concepts and applications in machine learning.
Unsupervised Learning
Explore key unsupervised learning techniques including clustering, dimensionality reduction, and generative models. Gain insights into real-world applications like recommendation systems and image compression.
Neural Networks
This Course is a friendly introduction series to machine learning, deep learning, neural networks and generative adversarial networks.
Machine Learning
Comprehensive introduction to key machine learning concepts, algorithms, and applications, covering testing, error metrics, recommendation systems, and various classification methods.
Computer Science
Explore key computer science topics with expert lectures on neural networks, cloud computing, cybersecurity, deep learning, and internet structure from renowned researchers.
Deep Learning Tutorials for Data Science
Comprehensive tutorials on deep learning for data science, covering fundamental concepts and practical applications for beginners.
Python ChatBot Tutorial
Learn to build a simple AI chatbot using Python, tflearn, and NLTK in this hands-on tutorial covering deep learning techniques and implementation.
Practical Deep Learning for Coders 2018
Comprehensive deep learning program for coders, covering essential concepts and practical applications through seven intensive lessons.
Cutting Edge Deep Learning for Coders
Explore advanced deep learning techniques including object detection, NLP, neural translation, GANs, and image enhancement. Gain practical skills for cutting-edge AI applications.