Pytorch Vs Tensorflow In 2023 Courses

Start your journey with Python 3 without any prior knowledge and be Python operational right away!

Rating: 4.9

Using Python and machine learning in financial analysis with step-by-step coding (with all codes)

Rating: 4.82692

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.

Rating: 4.79091

Use Unsupervised, Supervised and Reinforcement Learning techniques to gain an edge in trading Stocks, Crypto, Forex...

Rating: 4.69014

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

Rating: 4.66509

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

Rating: 4.6117

Learn to code the most creative and exciting A.I. architectures, generative networks, from basic to advanced and beyond

Rating: 4.60377

Learn to apply Reinforcement Learning and Artificial Intelligence algorithms using Python, Pytorch and OpenAI Gym

Rating: 4.6

Reinforcement Learning: Deep Q-Learning, SARSA, Deep RL, with Car Racing and Trading Project and Project and Interview

Rating: 4.54762

Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch

Rating: 4.52439

From Graph Representation Learning to Graph Neural Network (Complete Introductory Course to GNN)

Rating: 4.5

Learn Deep Learning & Computer Vision for Image Classification using Pre-trained Models with Python using Google Colab

Rating: 4.45455

Auto generate assessments in edtech like MCQs, True/False, Fill-in-the-blanks etc using state-of-the-art NLP techniques

Rating: 4.45

Learn how to implement a Convolutional Neural Network using Pytorch

Rating: 4.4

Go Zero to Pro - Complete linear algebra - Mathematics for data science, machine learning & Deep Learning

Rating: 4.35

Implementing and training deep learning models in a free, integrated environment

Rating: 4.35

A comprehensive course on GANs including state of the art methods, recent techniques, and step-by-step hands-on projects

Rating: 4.25

Master Generative Adversarial Networks (GANs) in no time

Rating: 4.05

Build useful and effective deep learning models with the PyTorch Deep Learning framework

Rating: 4

Build smart language applications using Deep Learning

Rating: 4

Scientific Python Masterclass Complete with REGEX, NumPy, Scipy, Matplotlib, Scikit-learn, Seaborn and Pandas - 18 Hours

Rating: 3.9

The Practical Guide to Create your own AI Semantic Segmentation: Learn the Full Workflow - From Training to Inference

Rating: 3.35