Результаты поиска по запросу: [Udemy] Deep Learning: Recurrent Neural Networks in Python (Lazy Programmer Inc.)

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  1. Аноним

    Запись [Udemy] Deep Learning: Recurrent Neural Networks in Python (Lazy Programmer Inc.)

    GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences *** NOW IN TENSORFLOW 2 and PYTHON 3 *** Learn about one of the most powerful Deep Learning architectures yet! The Recurrent Neural Network (RNN) has been used to obtain state-of-the-art results in sequence...
  2. Аноним

    Запись [Udemy] Deep Learning: Convolutional Neural Networks in Python (Lazy Programmer Inc.)

    Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow *** NOW IN TENSORFLOW 2 and PYTHON 3 *** Learn about one of the most powerful Deep Learning architectures yet! The Convolutional Neural Network (CNN) has been used to obtain state-of-the-art results in...
  3. Аноним

    Запись [Udemy] Unsupervised Deep Learning in Python (Lazy Programmer Inc.)

    Autoencoders + Restricted Boltzmann Machines for Deep Neural Networks in Theano, + t-SNE and PCA This course is the next logical step in my deep learning, data science, and machine learning series. I’ve done a lot of courses about deep learning, and I just released a course about unsupervised...
  4. Аноним

    Запись [Udemy] Data Science: Deep Learning in Python (Lazy Programmer Inc.)

    A guide for writing your own neural network in Python and Numpy, and how to do it in Google's TensorFlow. This course will get you started in building your FIRST artificial neural network using deep learning techniques. Following my previous course on logistic regression, we take this basic...
  5. Аноним

    Запись [Udemy] Modern Deep Learning in Python (Lazy Programmer Inc.)

    Take deep learning to the next level with SGD, Nesterov momentum, RMSprop, Theano, TensorFlow, and using the GPU on AWS. This course continues where my first course, Deep Learning in Python, left off. You already know how to build an artificial neural network in Python, and you have a...
  6. Аноним

    Запись [Udemy] Deep Learning Prerequisites: Logistic Regression in Python (Lazy Programmer Inc.)

    Data science techniques for professionals and students - learn the theory behind logistic regression and code in Python This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic...
  7. Аноним

    Запись [Udemy] Deep Learning Prerequisites: Linear Regression in Python (Lazy Programmer Inc.)

    Data science: Learn linear regression from scratch and build your own working program in Python for data analysis. This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of...
  8. Аноним

    Запись [Udemy] Natural Language Processing with Deep Learning in Python (Lazy Programmer Inc.)

    Complete guide on deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets In this course we are going to look at NLP (natural language processing) with deep learning. Previously, you learned about some of the basics, like how many NLP problems are...
  9. Аноним

    Запись [Udemy] Data Science: Supervised Machine Learning in Python (Lazy Programmer Inc.)

    A-Z Guide to Implementing Classic Machine Learning Algorithms From Scratch and with Sci-Kit Learn In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and...
  10. Аноним

    Запись [Udemy] Bayesian Machine Learning in Python: A/B Testing (Lazy Programmer Inc.)

    Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and more This course is all about A/B testing. A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more. A/B testing is all about comparing things. If...
  11. Аноним

    Запись [Udemy] Cluster Analysis and Unsupervised Machine Learning in Python (Lazy Programmer Inc.)

    Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE. Cluster analysis is a staple of unsupervised machine learning and data science. It is very useful for data mining and big data because it automatically finds patterns in the...
  12. Аноним

    Запись [Udemy] Unsupervised Machine Learning Hidden Markov Models in Python (Lazy Programmer Inc.)

    HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank. The Hidden Markov Model or HMM is all about learning sequences. A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of...
  13. Аноним

    Запись [Udemy] Ensemble Machine Learning in Python: Random Forest, AdaBoost (Lazy Programmer Inc.)

    Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images...
  14. Аноним

    Запись [Udemy] Data Science: Natural Language Processing (NLP) in Python (Lazy Programmer Inc.)

    A-Z guide to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis. In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech...
  15. Pac-Man

    Доступно [Udemy] Машинное обучение: Обработка естественного языка на Python (V2) (Lazy Programmer Inc.)

    Здравствуйте, друзья! Добро пожаловать в раздел "Машинное обучение: Обработка естественного языка на Python (версия 2). Это обширный курс "4 в 1", включающий в себя: Векторные модели и методы предварительной обработки текста Вероятностные модели и марковские модели Методы машинного обучения...
  16. Аноним

    Запись [Lazy Programmer Inc.] DeepFakes & Voice Cloning. Machine Learning The Easy Way

    Please note: Only the VIP version of the course covers Face Swap / Face Swapping. Contact the instructor if you are unsure of what that means! Unleash Your Creative Potential with DeepFakes Mastery Unlock the captivating power of DeepFakes and embark on a groundbreaking journey where reality and...
  17. Танцулька

    Доступно [Udemy] PyTorch: Глубокое обучение и искусственный интеллект - eng-rus (Lazy Programmer Inc)

    Нейронные сети для компьютерного зрения, прогнозирования временных рядов, НЛП, GANs, Reinforcement Learning и многое другое! Требования: Уметь писать код на Python и Numpy Для теоретической части (по выбору) - понимание производных и вероятности Описание: Вы когда-нибудь задумывались...
  18. Аноним

    Запись [Udemy] Data Analytics: SQL for newbs, beginners and marketers (Lazy Programmer Inc.)

    Dominate data analytics, data science, and big data It is becoming ever more important that companies make data-driven decisions. With big data and data science on the rise, we have more data than we know what to do with. One of the basic languages of data analytics is SQL, which is used for...
  19. Аноним

    Запись [Lazy Programmer Inc.] Tensorflow 2.0: Deep Learning and Artificial Intelligence

    Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More! Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs) Predict Stock Returns Time Series Forecasting Computer Vision How to build a Deep Reinforcement Learning Stock Trading Bot...
  20. Аноним

    Запись Hands-On Graph Neural Networks Using Python (Maxime Labonne)

    Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch (Maxime Labonne) Графовые нейронные сети с помощью Python: Практические методы и архитектуры для создания мощных приложений на основе графов и...
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