Fixed bug "TypeError: Layer.add_weight() got multiple values for argument 'shape'"

Google Colab thought "weight" and "bias" were being given for the "shape" argument, so I specified that these are the names of the variable and that fixed it.

Author: WilliamStarling

lab1/Part1_TensorFlow.ipynb

@@ -340,8 +340,8 @@
         "    d = int(input_shape[-1])\n",
         "    # Define and initialize parameters: a weight matrix W and bias b\n",
         "    # Note that parameter initialization is random!\n",
-        "    self.W = self.add_weight(\"weight\", shape=[d, self.n_output_nodes]) # note the dimensionality\n",
-        "    self.b = self.add_weight(\"bias\", shape=[1, self.n_output_nodes]) # note the dimensionality\n",
+        "    self.W = self.add_weight(name=\"weight\", shape=[d, self.n_output_nodes]) # note the dimensionality\n",
+        "    self.b = self.add_weight(name=\"bias\", shape=[1, self.n_output_nodes]) # note the dimensionality\n",
         "\n",
         "  def call(self, x):\n",
         "    '''TODO: define the operation for z (hint: use tf.matmul)'''\n",