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  • An Introduction To Practical Deep Learning

Results for "an introduction to practical deep learning"


  • Status: New
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    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

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    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    34 reviews

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Hands-on DeepSeek

    Skills you'll gain: Deepseek, LangChain, Generative AI, LLM Application, Tool Calling, AI Workflows, AI Orchestration, Prompt Engineering, Automation, Data Integration, Cross Platform Development, Systems Integration

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
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    38 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    I

    Illinois Tech

    Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    P

    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular an introduction to practical deep learning courses

  • Introduction to Deep Learning: University of Colorado Boulder
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Deep Learning for Computer Vision: MathWorks
  • Hands-on DeepSeek: Coursera
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Deep Learning: Illinois Tech
  • Deep Learning with Keras and Tensorflow: IBM

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