TensorFlow Courses

Skills you'll gain: Matplotlib, Feature Engineering, Data Preprocessing, NumPy, Plot (Graphics), Tensorflow, Pandas (Python Package), Data Visualization, Model Training, Statistical Visualization, Data Wrangling, Jupyter, Applied Machine Learning, Seaborn, Statistical Machine Learning, Data Engineering, Machine Learning, Development Environment, Network Model, Network Engineering

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Regression Analysis

Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Model Training, Transfer Learning, Convolutional Neural Networks, Computer Programming, Supervised Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Model Optimization, Probability Distribution, Embeddings, Application Programming Interface (API)

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Model Training, Artificial Intelligence, Data Preprocessing, Machine Learning

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Predictive Modeling, NumPy, Regression Analysis, Data Preprocessing

Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Model Training, Model Optimization, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Application Programming Interface (API), Data Synthesis

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Model Training, Time Series Analysis and Forecasting

Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Model Evaluation, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Model Training, Applied Machine Learning, Artificial Neural Networks, Machine Learning, Cloud Computing, Development Environment

Skills you'll gain: Model Deployment, Extract, Transform, Load, Federated Learning, Model Optimization, Data Pipelines, Data Import/Export, Tensorflow, Transfer Learning, Convolutional Neural Networks, iOS Development, Apple iOS, Android Development, Model Training, Data Processing, Computer Vision, Swift Programming, Model Evaluation, Mobile Development, Javascript, Machine Learning

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Cloud Deployment, Model Training, Transfer Learning, Model Deployment, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Application Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Optimization, Software Installation