gpu workstation deep learning

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Wunda-Deep Learning-course notes -3:python and Vectorization (Week 2)

matrix when you calculate Np.dot (A, A.T). The shape of A is (5, 1), and a. The shape of T is (1, 5).A.shape = (5,) This is an array of rank 1, not a row vector or a column vector. Many students appear to be difficult to debug bugs are from the rank of 1 arrays.In addition, if you do a lot of things in the code, you may not remember or are unsure of how a is, use assert (A.shape = = (5,1)) to check the dimensions of your matrix.If you get (5,) you can reshape it into (5, 1) or (1, 5), reshape i

Preparatory work for deep learning--python,pip,numpy,tensorflow installation

installation was successful, import the NumPy with Python, as follows to complete the installation4. Installing TensorFlow1.> download the corresponding version of the TensorFlow, must be corresponding to the Python version, the latest is the support python3.6 version, for: https://pypi.org/project/tensorflow-gpu/#files, Because my Python version is 3.6, so download TENSORFLOW_GPU-1.8.0-CP36-CP36M-WIN_AMD64.WHL2.> Installation: command: Pip install T

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