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  • Deep Learning Optimization Techniques

Results for "deep learning optimization techniques"


  • E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Markov Model

    3.8
    Rating, 3.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis

    Intermediate · Course · 1 - 3 Months

  • 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

1…789…834

In summary, here are 10 of our most popular deep learning optimization techniques courses

  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Learning Deep Learning: Unit 3: Pearson
  • Practical Deep Learning with Python: Edureka

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